Global assembling of Academicians, Researchers, Scholars & Industry to disseminate and exchange information at 100+ Allied Academies Conferences
Dear colleagues and friends,
International Conference on Big Data Analytics and Data Mining is aimed to be an annual conference for researchers, academicians and industry person in the field of computer science, Information system & Communication technologies, Engineering and related field. Big Data 2019 will be organised in Frankfurt, Germany on November 25-26, 2019. We hope that this conference will attract a large number of delegates from all over the world and consist of very high-quality technical sessions.
Big Data 2019 will offer a forum for scientist from all over the world and business to exchange the newest innovation and research advancement in big data, Soft computing, Cloud computing, networking and computer security. 2-day conference will include invited keynotes, oral presentation and poster presentation.
We look forward to welcoming you for Big Data 2019 at the Frankfurt, Germany.
Sincerely,
Organizing Committee, Big Data 201
Big Data 2019 welcomes Data scientists, Data Engineers,Data Analysts, Software developers, Technical leads, Researchers, SystemArchitects, CEOS, CTOS, CIO, etc Head data Scientists, Head researchers, ITManagers, Entrepreneurs, Business Analysts, Business Strategist’s, Consultantfrom all over the world to Frankfurt, Germany. We are delighted to invite youall to attend the “International Conference on Big Data Analytics and Data Mining”, Big Data 2019, which will be held from November 25 to 26,2019 in Frankfurt, Germany. The organizing committee is gearingup for an exciting and informative conference program and various otherprograms for participant from all over the world.
Target Audience:
Why to Attend:
We currently live in the era of Big Data, where massiveamounts of information are being collected at an ever-decreasing cost. EveryFacebook, Twitter and Instagram post is a data moment that can be archived andbecome a part of a historical data set. In an age where governments are makingdata more open and accessible, there is a significant demand for employees whocan aggregate such large information sets in a meaningful manner and deliverkey insights.
Conference Highlights:
Session on: Big data
Information has intrinsic value, but it’s having no use until we discovered the value of it. The amount of information on planet earth is developing exponentially for many reasons. Different sources and our everyday activities create bunches of information. The information development rate has expanded quickly. We would now be able to quantify and oversee enormous measures of data with exceptional exactness. Adaptability and readiness are two perspectives valuable in managing Big Data. Effectively exploiting the value of Big Data requires experimentation and investigation. In this session researcher will be able to discuss about Big data driving factors, Characteristics, Types, Challenges, Applications, Hadoop in Big data. Join us at Big Data conference at Frankfurt, Germany.
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Related societies and Association:
SIGKDD, ACM special interest group on knowledge discovery in data and data mining | Advanced Analytics Institute (AAI) | American Statistical Association | Data Mining Group (DMG) | The International machine learning society( IMLS) | INFORMS | International Institute for Analytics | National Big data association | Big Data value Association (BDVA) | International Institute for Business Analysis (IIBA) | European Knowledge Discovery Network of Excellence (KDNET) | National Centre for Data Mining (NCDM) | SIGMOD | German Data Center Association | Digital Analytics Association (DAA) | Noun Association for German Data base | Digital Analytics Association | Data Science Association | International Data Engineering and Science Association (IDEAS) | Asia Big Data Association | Instituteof Analytics (IOA) | Research Data Alliance (RDA) | Big Data and Analytics Association ( BDAA) | Web Analytics Association (WAA) | IEEE |
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3rd International Conference on Data Mining, Communications and Information Technology (DMCIT 2019) 24th - 26th May 2019 Beijing, China; 21st International Conference on Data Mining and Knowledge Management April 24 - 25, 2019, Boston, USA; 2nd International Conference on Data Mining and Knowledge Discovery April 26-28, 2019 Shanghai, China; International Conference on Data Mining May 2-4, 2019 Calgary, Alberta, Canada; The Twelfth ACM International Conference on Web Search and Data Mining 11-15 Feb 2019 Melbourne, VIC, Australia; International Conference on Management of Data 30 Jun 2019 - 05 Jul 2019 Amsterdam, Netherlands; European Conference on Machine learning and knowledge discovery in databases Sep 16-20, 2019 Würzburg, Germany; 8th International conference on Data Science, Technology and Application July 26-28, 2019 Prague, Czech Republic; Marketing Analytics & Data Science Apr 8-10, 2019 San Francisco, USA; 20th Industrial Conference on Data Mining July 10-14, 2019, New York, USA; Global AI & Big Data Expo 25-26 Apr, 2018 London, UK;
Session on: Big data Analytics
With the present innovation, it's conceivable to examine our information and find solutions from it very quickly – an exertion that is slower and less proficient with more traditional business intelligence solutions. Big data analytics examines massive amounts of data to uncover hidden patterns, correlations and different insights. The challenge of this era is to form sense of this ocean of data. This is the place where data analytics comes into picture.
Big data Analytics mostly involve collection of data from totally different sources and at last deliver data product helpful to the organization business. The process of changing massive amounts of unstructured data, retrieved from totally different sources to an information product are helpful for organizations to form the core of big data analytics. The session discusses overview of Big data analytics, Data life cycle, Methodology of Big data, Big data analytics projects, Big data analytics methods, Machine learning of data analysis. Join us to discover how we can help to accelerate innovation at Big Data 2019 at Frankfurt, Germany.
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Related societies and Association:
National Big data association | Big Data value Association ( BDVA) | Asia Big Data Association | Institute of Analytics (IOA) | Research Data Alliance (RDA) | Big Data and Analytics Association (BDAA) | International Institute for Analytics | IEEE | The International machine learning society ( IMLS) | INFORMS | Web Analytics Association (WAA)| Data Mining Group ( DMG) | National Centre for Data Mining ( NCDM) | German Data Center Association | Digital Analytics Association (DAA) | Noun Association for German Data base | Digital Analytics Association | Data Science Association | International Data Engineering and Science Association (IDEAS)
Related Conferences:
AI & Big Data Expo 25-26 Apr, 2018 London, UK; International Conference on Management of Data 30 Jun 2019 - 05 Jul 2019 Amsterdam, Netherlands; European Conference on Machine learning and knowledge discovery in data bases 16-20 Sep 2019 Wurzburg, Germany; 8th International conference on Data Science, Technology and Application July 26-28, 2019 Prague, Czech Republic; 21st International Conference on Data Mining and Knowledge Management April 24 - 25, 2019, Boston, USA; Global meeting on Big Data Analytics and Data Processing April 15-16, 2018, China, Hong Kong; AI & Big Data Expo April 25-26, 2018, Olympia, London; 2nd International Conference on Data Mining and Knowledge Discovery April 26-28, 2019 Shanghai, China; ACM International web search and Data Mining February 5-9, 2018, Los Angeles; IEEE International Conference on Data Mining November 17-20,2018, Singapore
Session on: Big Data Algorithms
The algorithms chosen for analytics program are going to be set upon by the goals that are established. Established goals will determine which algorithms are used to sort out and process the information available. Various algorithms are developed to deal specifically with business issues. Other algorithms were designed to enhance current existing algorithms, or to perform in new ways. It concludes K- means clustering algorithm, Association rule mining algorithm, Linear Regression algorithm, Logistic Regression algorithm, C4.5, Support vector machine, Apriori, EM (expectation-maximization) Algorithm, AdaBoost, Naïve Bayesian. Join your peers at Big Data 2019 at Frankfurt, Germany and learn more about it.
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Related societies and Association:
International Institute for Analytics | International Institute for Business Analysis ( IIBA) | European Knowledge Discovery Network of Excellence ( KDNET) | National Big data association | Big Data value Association ( BDVA) | Asia Big Data Association | Institute of Analytics (IOA) | Research Data Alliance (RDA) | German Data Center Association | Digital Analytics Association (DAA) | Noun Association for German Data base | Digital Analytics Association Data Science Association | International Data Engineering and Science Association (IDEAS) | Big Data and Analytics Association (BDAA) | Advanced Analytics Institute (AAI) | INFORMS | SIGKDD, ACM special interest group on knowledge discovery in data and data mining| The International machine learning society (IMLS)
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International Conference on Management of Data 30 Jun 2019 - 05 Jul 2019 Amsterdam, Netherlands; AI & Big Data Expo April 25-26, 2018, London; Global meeting on Big Data Analytics and Data Processing April 15-16, 2018, China, Hong Kong; 3rd International Conference on Data Mining, Communications and Information Technology (DMCIT 2019) 24th - 26th May 2019 Beijing, China; 2nd International Conference on Data Mining and Knowledge Discovery April 26-28, 2019 Shanghai, China; European Conference on Machine learning and knowledge discovery in databases 16-20 Sep 2019 Würzburg, Germany; 20th Industrial Conference on Data Mining July 10-14, 2019, New York, USA; International Conference on Data Mining May 2-4, 2019 Calgary, Alberta, Canada; Global Big Data conference Aug 28-30, 2018, Santa Clara, USA; Strata Data Conference March 5-8,2018, San Jose
Session on: Big data Analytics Software
Big data platform and big data software focuses on providing efficient analytics for extremely large data sets. The analytics helps the organization to gain insight, by turning data into high quality information, providing deeper insights about the business situation. This enables the business to take the advantage of digital universe. Voluminous data cannot be adequately analysed using the traditional data management technique and warehousing. This is why institutions are increasingly embracing big data platform. Big data is a tool designed to handle voluminous data that is multi-structured in real time. Big data analytics software helps to uncover hidden patterns, unknown correlations, market trends, client preferences and different helpful info from wide selection of information sets. This session gives the view on Software like Amazon web services, Google Big Query, Arcadia Data, Microsoft Azure, Informatica Power Centre Big Data Edition, Good Data, Actian Analytics platform, Google Big data, Wavefront, IBM Big data, Datameer, Data Torrent, Big Data Platforms, Features of big data software. Join with us in Big Data 2019 to know more about the sessions at Frankfurt, Germany.
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Related societies and Association:
Data Mining Group ( DMG) | International Institute for Analytics | INFORMS | Web Analytics Association (WAA) | SIGMOD | International Institute for Business Analysis (IIBA) | The International machine learning society (IMLS) | German Data Center Association | Digital Analytics Association (DAA) | Noun Association for German Data base | Digital Analytics Association | Data Science Association | International Data Engineering and Science Association (IDEAS) | International Institute for Analytics | National Big data association | Big Data value Association (BDVA) | Asia Big Data Association | Institute of Analytics (IOA) | Research Data Alliance (RDA) | Big Data and Analytics Association (BDAA)
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European Conference on Machine learning and knowledge discovery in databases 16-20 Sep 2019 Würzburg, Germany; AI & Big Data Expo April 25-26, 2018, Olympia, London; Global meeting on Big Data Analytics and Data Processing April 15-16, 2018, China, Hong Kong; The Twelfth ACM International Conference on Web Search and Data Mining 11-15 Feb 2019 Melbourne, VIC, Australia; ; 21st International Conference on Data Mining and Knowledge Management April 24 - 25, 2019, Boston, USA; International Conference on Data Mining May 2-4, 2019 Calgary, Alberta, Canada; International Conference on Management of Data 30 Jun 2019 - 05 Jul 2019 Amsterdam, Netherlands; 3rd International Conference on Data Mining, Communications and Information Technology (DMCIT 2019) 24th - 26th May 2019 Beijing, China; The Data Science conference September 20-21, 2018, Chicago; Indy Big Data Sep 26, 2018, Indianapolis, USA
Session on: Cloud computing in big data
We can say that the big data and cloud computing has a perfect combination. Their combination leverages ascendible and cost-efficient resolution in big data analytics. Big data and cloud computing each technology is having their own importance. IAAS could be a cost-efficient resolution and utilizing this Cloud service, Big Data services enable people to access unlimited storage and compute power. PAAS vendors incorporate huge data technologies into their offered service. SAAS service is the most facilitated one which provides all the necessary settings and infrastructure. People from different regions can provide their research work on relationship in big data and cloud computing, Infrastructure as a service (IAAS), Platform as a service (PAAS), Software as a service (SAAS), IAAS in public cloud, PAAS in private cloud, SAAS in hybrid cloud and so on. Join us in Big Data 2019 conference meeting at Frankfurt, Germany.
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European Knowledge Discovery Network of Excellence (KDNET) | Web Analytics Association ( WAA) | National Big data association | Big Data value Association (BDVA) | Asia Big Data Association | Institute of Analytics (IOA) | Research Data Alliance( RDA) | Big Data and Analytics Association ( BDAA) | International Institute for Business Analysis (IIBA) | Advanced Analytics Institute (AAI) | SIGMOD | International Institute for Analytics | INFORMS
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20th Industrial Conference on Data Mining July 10-14, 2019, New York, USA; AI & Big Data Expo 25-26 Apr, 2018 London, UK; 8th International conference on Data Science, Technology and Application July 26-28, 2019 Prague, Czech Republic; The Twelfth ACM International Conference on Web Search and Data Mining 11-15 Feb 2019 Melbourne, VIC, Australia; ; European Conference on Machine learning and knowledge discovery in databases 16-20 Sep 2019 Würzburg, Germany; Marketing Analytics & Data Science Apr 8-10, 2019 San Francisco, USA; Global Big Data conference Aug 28-30, 2018, Santa Clara, USA; ACM International web search and Data Mining February 5-9, 2018, Los Angeles; Global meeting on Big Data Analytics and Data Processing April 15-16, 2018, China, Hong Kong; AI & Big Data Expo April 25-26, 2018, Olympia, London; IEEE International Conference on Data Mining November 17-20,2018, Singapore
Session on: AI and Machine learning
AI is a concept where intelligence and data processing is done locally on small devices, instead of cloud. The edge is where a lot of money is being invested right now and putting AI on the edge will continue to have tremendous value and impact. The AI neural network technology behind computer science has reworked everything from email to drug discovery with its more and more powerful ability to be learn from and establish patterns in information. The very complex quality that lets modern deep-learning networks teach successfully is a way to drive cars and spot insurance fraud. The session concludes AI- Intelligent system, Research areas, agents and environments, search algorithms, Fuzzy logic system, Experts systems, Neural network, AI- Issues and many more. Join us for Big Data 2019 gathering at Frankfurt, Germany.
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IEEE | SIGMOD | Web Analytics Association ( WAA) | International Institute for Business Analysis (IIBA) | INFORMS | International Institute for Analytics | American Statistical Association | Data Mining Group (DMG) | Advanced Analytics Institute (AAI) | National Big data association | Big Data value Association (BDVA) | Asia Big Data Association | Institute of Analytics (IOA) | Research Data Alliance (RDA) | Big Data and Analytics Association (BDAA) | German Data Center Association | Digital Analytics Association ( DAA ) | Noun Association for German Data base | Digital Analytics Association | Data Science Association | International Data Engineering and Science Association (IDEAS)
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Marketing Analytics & Data Science Apr 8-10, 2019 San Francisco, USA; 20th Industrial Conference on Data Mining July 10-14, 2019, New York, USA; AI & Big Data Expo 25-26 Apr, 2018 London, UK; 2nd International Conference on Data Mining and Knowledge Discovery April 26-28, 2019 Shanghai, China; International Conference on Data Mining May 2-4, 2019 Calgary, Alberta, Canada; The Twelfth ACM International Conference on Web Search and Data Mining 11-15 Feb 2019 Melbourne, VIC, Australia; International Conference on Management of Data 30 Jun 2019 - 05 Jul 2019 Amsterdam, Netherlands; Indy Big Data Sep 26, 2018, Indianapolis, USA; Global Big Data conference Aug 28-30, 2018, Santa Clara, USA; Strata Data Conference March 5-8,2018, San Jose; Global meeting on Big Data Analytics and Data Processing April 15-16, 2018, China, Hong Kong; AI & Big Data Expo April 25-26, 2018, Olympia, London
Session on: IOT in Big Data
The Internet of Things is making an appearance in nearly every industry. The Internet of Things is made up of a variety of different networked devices that people can monitor and control remotely. You might see them in your home, in the form of a smart garage door opener or smart TV, or a warehouse or factory in the form of inventory management hardware. Between chat bots, virtual assistants, healthcare bots and other smart innovations. With advanced natural language processing and machine learning, many of today’s machines can converse comfortably with humans and answer queries on demand. Researcher will be able to discuss about current trends of IOT as IOT- Hardware, Software, Technology & Protocols, Applications, Thingworx, CISCO virtualized Packet Zone, Salesforce, GE Predix, Eclipse, Contiki, Security, Identity Protection, Liability. Join us to discover more about the session in Big Data 2019 at Frankfurt, Germany.
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Related societies and Association:
Advanced Analytics Institute (AAI) | American Statistical Association | Data Mining Group ( DMG) | The International machine learning society (IMLS) | INFORMS | International Institute for Analytics | EuropeanKnowledge Discovery Network of Excellence ( KDNET) | National Centre for Data Mining (NCDM) | German Data Center Association | Digital Analytics Association (DAA) | Noun Association for German Data base | Digital Analytics Association | Data Science Association | International Data Engineering and Science Association (IDEAS) | SIGMOD | National Big data association | Big Data value Association (BDVA) | Asia Big Data Association | Institute of Analytics (IOA) | Research Data Alliance (RDA) | Big Data and Analytics Association (BDAA) | Web Analytics Association (WAA) | IEEE |
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2nd International Conference on Data Mining and Knowledge Discovery April 26-28, 2019 Shanghai, China; Big Data Day LA August 11, 2018, Los Angeles; Indy Big Data Sep 26, 2018, Indianapolis, USA ; International Conferenceon Data Mining May 2-4, 2019 Calgary, Alberta, Canada; 3rd International Conference on Data Mining, Communications and Information Technology (DMCIT 2019) 24th - 26th May 2019 Beijing, China; 21st International Conference on Data Mining and Knowledge Management April 24 - 25, 2019, Boston, USA; AI & Big Data Expo April 25-26, 2018, Olympia, London; Global meeting on Big Data Analytics and Data Processing April 15-16, 2018, China, Hong Kong; 8th International conference on Data Science, Technology and Application July 26-28, 2019 Prague, Czech Republic; Marketing Analytics & Data Science Apr 8-10, 2019 San Francisco, USA; 20th Industrial Conference on Data Mining July 10-14, 2019, New York, USA;
Session on: Natural Language processing: A Human Computer Interaction
NLP could be a branch of computer science that helps computers perceive, interpret and manipulate human language. Natural Language Processing (NLP) and Natural Language Generation (NLG) are two branches of machine learning that enable the conversion of human language to computer commands and vice versa. These technologies are enabling humans to own a speech with machines in a good manner and augmenting human intelligence. NLP describes a process which turns text into structured data when the computer reads the language. NLG could be a computer’s writing language that turns structured knowledge into text to supply data in human language. It concludes components of NLP, Difficulties in NLU, Steps in NLP, Implementation aspects of syntactic analysis and so on. Join us at Frankfurt, Germany for more updates regarding Natural language processing.
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Related societies and Association:
European Knowledge Discovery Network of Excellence ( KDNET ) | National Centre for Data Mining (NCDM ) | SIGMOD | National Big data association | Big Data value Association (BDVA) | Asia Big Data Association | Institute of Analytics (IOA) | Research Data Alliance (RDA) | Big Data and Analytics Association (BDAA) | Web Analytics Association (WAA) | IEEE | Data Mining Group ( DMG ) | The International machine learning society (IMLS) | INFORMS | German Data Center Association | Digital Analytics Association (DAA) | Noun Association for German Data base | Digital Analytics Association | Data Science Association | International Data Engineering and Science Association (IDEAS) | International Institute for Analytics | International Institute for Business Analysis (IIBA)
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21st International Conference on Data Mining and Knowledge Management April 24 - 25, 2019, Boston, USA; 2nd International Conference on Data Mining and Knowledge Discovery April 26-28, 2019 Shanghai, China; International Conference on Data Mining May 2-4, 2019 Calgary, Alberta, Canada; The Twelfth ACM International Conference on Web Search and Data Mining 11-15 Feb 2019 Melbourne, VIC, Australia; International Conference on Management of Data 30 Jun 2019 - 05 Jul 2019 Amsterdam, Netherlands; 20th Industrial Conference on Data Mining July 10-14, 2019, New York, USA; AI & Big Data Expo Global 25-26 Apr, 2018 London, UK; Big Data Day LA August 11, 2018, Los Angeles; IEEE International Conference on Data Mining November 17-20,2018, Singapore; Strata Data Conference March 5-8,2018, San Jose; Global meeting on Big Data Analytics and Data Processing April 15-16, 2018, China, Hong Kong; AI & Big Data Expo April 25-26, 2018, Olympia, London;
Session on: Big Data and Robotics
Robotics is the term utilized in computer science that deals with a study of making intelligent and economical robots. Almost all the activities happening around the robot and within the surrounding environment is perceived by the robots. Robots sense and perceive through their built-in sensors in order to be aware of what’s happening around them. Robotic technology high-powered by AI has continually been concerning analytics from its advent. Robots have the potential of sensing and perceiving knowledge through their sensors. For years currently, we have relied on technologies and borrowed analytics from methodologies such as machine learning and many others. However, artificial intelligence often came up with some original analysis and techniques. These techniques are typically designed for finding artificial intelligence connected problems, however later they will be used for any application. The session deliberation is on Robotics, Robot locomotion, Computer vision, Advanced robotics, Robot Dynamics, Nuclear robotics, Human robot interaction, Micro and Nano robots, Robotic Rehabilitation Systems, Autonomous Robots, Cognitive Robotics, Neural network, Research on Robotics, Applications of Robotics at Big Data 2019 at Frankfurt, Germany.
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European Knowledge Discovery Network of Excellence (KDNET) | German Data Center Association | Digital Analytics Association (DAA) | Noun Association for German Data base | Digital Analytics Association | Data Science Association | International Data Engineering and Science Association (IDEAS) | National Centre for Data Mining (NCDM) | SIGMOD | National Big data association | Big Data value Association (BDVA) | Asia Big Data Association | Institute of Analytics (IOA) | Research Data Alliance (RDA) | Big Data and Analytics Association (BDAA) | Web Analytics Association (WAA) | IEEE | SIGKDD, ACM special interest group on knowledge discovery in data and data mining | Advanced Analytics Institute (AAI) | American Statistical Association | Data Mining Group ( DMG) | The International machine learning society ( IMLS) | INFORMS
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SAS Global Forum April 8-11, Denver, CO, USA; Marketing Analytics and Data Science conference, April 11-13, San Francisco, CA, USA; AI & Big Data Expo April 25-26, 2018, Olympia, London; Global meeting on Big Data Analytics and Data Processing April 15-16, 2018, China, Hong Kong; Machine Intelligence Summit, April 12-13, Hong Kong, Deep Learning Summit, April 12-13, Hong Kong; 4th International Conference and Expo on Automobile Engineering and Design, May 16-17, 2018 Tokyo, Japan; 4th Global Summit and Expo on Multimedia & Artificial Intelligence; International Conference on Management of Data 30 Jun 2019 - 05 Jul 2019 Amsterdam, Netherlands; ; AI & Big Data Expo Global 25-26 Apr, 2018 London, UK; Big Data Day LA August 11, 2018, Los Angeles; IEEE International Conference on Data Mining November 17-20,2018, Singapore; ACM International web search and Data Mining February 5-9, 2018, Los Angeles; Global Big Data conference Aug 28-30, 2018, Santa Clara, USA;
Session on: Social Media Analytics
Every time we are posting on social media, social data will be generated. Data created by customers - comments, sentiment, likes, shares, retweets, etc. Social media analytics gives us access to one of the world's largest focus groups. Social media analytics is the method of assembling hidden insights from social knowledge - structured and unstructured - to modify up on deciding. It can also analyse online media channels such as news websites, blogs, and forums. Talk walker offers the foremost intensive coverage in terms of geographic unfold, language and media, as well as time. Sum All is a cross-platform tool that gains insights from social media, e-commerce websites. The sessions on social Media Analytics discuss about Facebook, Twitter, LinkedIn, Instagram, YouTube, Pinterest Analytics including other social media platform. Join us on Big Data 2019 at Frankfurt, Germany.
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International Institute for Business Analysis ( IIBA) | European Knowledge Discovery Network of Excellence (KDNET) | National Centre for Data Mining ( NCDM) | SIGMOD | Web Analytics Association ( WAA) | IEEE | National Big data association | Big Data value Association (BDVA)| Asia Big Data Association |Institute of Analytics (IOA) | Research Data Alliance (RDA) | Big Data andAnalytics Association (BDAA) | Advanced Analytics Institute(AAI) | German Data Center Association | Digital Analytics Association (DAA) | Noun Association for German Data base | Digital Analytics Association | Data Science Association | International Data Engineering and Science Association (IDEAS) | American Statistical Association | Data Mining Group (DMG) | The International machine learning society (IMLS)| INFORMS | International Institute for Analytics
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European Conference on Machine learning and knowledge discovery in databases 16-20 Sep 2019 Würzburg, Germany; 8th International conference on Data Science, Technology and Application July 26-28, 2019 Prague, Czech Republic; Marketing Analytics & Data Science Apr 8-10, 2019 San Francisco, USA; 20th Industrial Conference on Data Mining July 10-14, 2019, New York, USA; AI & Big Data Expo Global 25-26 Apr, 2018 London, UK; 3rd International Conference on Data Mining, Communications and Information Technology (DMCIT 2019) 24th - 26th May 2019 Beijing, China; 21st International Conference on Data Mining and Knowledge Management April 24 - 25, 2019, Boston, USA; The Data Science conference September 20-21, 2018, Chicago; IEEE International Conference on Data Mining November 17-20,2018, Singapore; Global meeting on Big Data Analytics and Data Processing April 15-16, 2018, China, Hong Kong; AI & Big Data Expo April 25-26, 2018, Olympia, London
Session on: Business Analytics
Analytics is at the forefront of business growth, serving as an important key stone to assess what has happened in the past, and influence your company’s future. Improving overall performance across businesses of varying sizes – companies who embrace analytics allow their IT departments to produce results on efficiency. The focus of this session is Business Intelligence vs Business Analytics, Benefits of using business analytics, Challenges that come with the adoption of business analytics, Mistakes made in business analytics, Outsourcing business analytics, Top business analytics tools and so on. Join us in Big Data 2019 at Frankfurt, Germany to know more about the session and how business analytics supports for better business outcomes.
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Related societies and Association:
Advanced Analytics Institute (AAI) | American Statistical Association | Data Mining Group (DMG) | The International machine learning society (IMLS) | INFORMS | International Institute for Analytics | International Institute for Business Analysis (IIBA) | European Knowledge Discovery | National Centre for Data Mining (NCDM) | SIGMOD | Web Analytics Association (WAA) | IEEE | National Big data association | German Data Center Association | Digital Analytics Association (DAA) | Noun Association for German Data base | Digital Analytics Association | Data Science Association | International Data Engineering and Science Association (IDEAS) | Big Data value Association ( BDVA) | Asia Big Data Association | Institute of Analytics (IOA) | Research Data Alliance (RDA) | Big Data and Analytics Association (BDAA)
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Marketing Analytics & Data Science Apr 8-10, 2019 San Francisco, USA; 20th Industrial Conference on Data Mining July 10-14, 2019, New York, USA; Global meeting on Big Data Analytics and Data Processing April 15-16, 2018, China, Hong Kong; AI & Big Data Expo Global 25-26 Apr, 2018 London, UK; 3rd International Conference on Data Mining, Communications and Information Technology (DMCIT 2019) 24th - 26th May 2019 Beijing, China; 21st International Conference on Data Mining and Knowledge Management April 24 - 25, 2019, Boston, USA; International Conference on Data Mining May 2-4, 2019 Calgary, Alberta, Canada; The Twelfth ACM International Conference on Web Search and Data Mining 11-15 Feb 2019 Melbourne, VIC, Australia; International Conference on Management of Data 30 Jun 2019 - 05 Jul 2019 Amsterdam, Netherlands; Strata Data Conference March 5-8,2018, San Jose; Global Big Data conference Aug 28-30, 2018, Santa Clara, USA
Session on: Health Informatics
Global health care spending is projected to increase at an annual rate of 5.4 percent in 2017-2022, from $7.724 trillion to $10.059 trillion. Health informatics enable monitoring of patient health. It also assists medical practitioner as well as tracking the disease progression during treatment. Secondly, health information science helps to connect with operational processes – system directors will analyse and optimize virtually each operational aspects of health system. Finally, health informatics can support the systematic measurement of patient-reported outcomes. It concludes Social and technical context of health informatics, Leading Change in health informatics, The outcome and interventions of health informatics, The data science of health informatics, Clinical Informatics, Nursing Informatics, Public health informatics, Trends and Developments. For more updates be the part of Big Data 2019 at Frankfurt, Germany.
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Related societies and Association:
International Institute for Analytics | International Institute for Business Analysis (IIBA) | KDNET, European Knowledge Discovery Network of Excellence | National Centre for Data Mining (NCDM) | SIGMOD | Web Analytics Association (WAA) | IEEE | SIGKDD, ACM special interest group on knowledge discovery in data and data mining | National Big data association | Big Data value Association (BDVA) | Asia Big Data Association | Institute of Analytics (IOA) | German Data Center Association | Digital Analytics Association (DAA)| Noun Association for German Data base | Digital Analytics Association | Data Science Association | International Data Engineering and Science Association (IDEAS) | Research Data Alliance (RDA) | Big Data and Analytics Association (BDAA) | Advanced Analytics Institute | American Statistical Association | Data Mining Group (DMG) | The International machine learning society (IMLS)
Related Conferences:
European Conference on Machine learning and knowledge discovery in databases 16-20 Sep 2019 Würzburg, Germany; 8th International conference on Data Science, Technology and Application July 26-28, 2019 Prague, Czech Republic; Marketing Analytics & Data Science Apr 8-10, 2019 San Francisco, USA; 20th Industrial Conference on Data Mining July 10-14, 2019, New York, USA; AI & Big Data Expo Global 25-26 Apr, 2018 London, UK; 3rd International Conference on Data Mining, Communications and Information Technology (DMCIT 2019) 24th - 26th May 2019 Beijing, China; 21st International Conference on Data Mining and Knowledge Management April 24 - 25, 2019, Boston, USA; 2nd International Conference on Data Mining and Knowledge Discovery April 26-28, 2019 Shanghai, China; International Conference on Data Mining May 2-4, 2019 Calgary, Alberta, Canada; Global meeting on Big Data Analytics and Data Processing April 15-16, 2018, China, Hong Kong; AI & Big Data Expo April 25-26, 2018, Olympia, London
Session on: Data Mining
Data mining, which is used extensively is gaining popularity in the life sciences. Due to the tremendous amount of complex data generated by transactions involving life sciences companies, processing and analysing these data is becoming more and more traditional. The process of discovering useful information from huge data and application of information mining techniques are referred as knowledge Discovery in Databases (KDD). KDD consists of varied application domains like computer science, pattern recognition, machine learning and data visualization. People from different domains can provide their research work on Data Mining- Tasks, Issues, Evaluation, Knowledge discovery, Systems, Classification, Cluster Analysis, Application & Trends, Mining Themes, Mining text data, Mining world wide web. For more about the session join us in Big Data 2019 at Frankfurt, Germany.
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Related societies and Association:
Data Mining Group (DMG) | The International machine learning society (IMLS) | INFORMS | International Institute for Analytics | International Institute for Business Analysis (IIBA) | KDNET, European Knowledge Discovery Network of Excellence | National Centre for Data Mining (NCDM) | SIGMOD | German Data Center Association | Digital Analytics Association (DAA) | Noun Association for German Data base | Digital Analytics Association | Data Science Association | International Data Engineering and Science Association (IDEAS) | Web Analytics Association (WAA) | National Big data association | Big Data value Association (BDVA) | Asia Big Data Association | Institute of Analytics (IOA) | Research Data Alliance(RDA) | Big Data and Analytics Association (BDAA)| IEEE |
Related Conferences:
Marketing Analytics & Data Science Apr 8-10, 2019 San Francisco, USA; 20th Industrial Conference on Data Mining July 10-14, 2019, New York, USA; AI & Big Data Expo Global 25-26 Apr, 2018 London, UK; 3rd International Conference on Data Mining, Communications and Information Technology (DMCIT 2019) 24th - 26th May 2019 Beijing, China; 21st International Conference on Data Mining and Knowledge Management April 24 - 25, 2019, Boston, USA; AI & Big Data Expo April 25-26, 2018, Olympia, London; Global meeting on Big Data Analytics and Data Processing April 15-16, 2018, China, Hong Kong; 2nd International Conference on Data Mining and Knowledge Discovery April 26-28, 2019 Shanghai, China; Strata Data Conference March 5-8,2018, San Jose; ACM International web search and Data Mining February 5-9, 2018, Los Angeles; IEEE International Conference on Data Mining November 17-20,2018, Singapore; Indy Big Data Sep 26, 2018, Indianapolis, USA
Session on: Applications of Data Mining
Data mining allows businesses to grasp the hidden patterns, so helping in planning and launching new promoting campaigns during a prompt and efficient approach. Several data mining technique e.g. distributed data mining have been researched, modelled and developed to help credit card fraud detection. Data mining is applied in claims analysis like distinctive that medical procedures are claimed together. Data mining helps to determine the distribution schedules among warehouses and outlets and analyse loading patterns. In this session we can discuss Financial data analysis, Retail Industry, Telecommunication Industry, Biological Data analysis, Scientific applications, Intrusion Detection, Data Mining system products at Big Data 2019 in Frankfurt, Germany.
Recommended: Big data | Big data conference | Big data Analytics | Big data Analytics conferences | Data Mining | Data Mining conference | Big Data Congress | Big Data Analytics Congress | Data Mining Meet | Data Mining Congress
Related societies and Association:
International Institute for Business Analysis (IIBA) | KDNET, European Knowledge Discovery Network of Excellence | National Centre for Data Mining (NCDM) | SIGMOD | Web Analytics Association (WAA) | IEEE | SIGKDD, ACM special interest group on knowledge discovery in data and data mining National Big data association | Big Data value Association (BDVA) | Asia Big Data Association | German Data Center Association | Digital Analytics Association (DAA) | Noun Association for German Data base | Digital Analytics Association | Data Science Association | International Data Engineering and Science Association(IDEAS) | Institute of Analytics (IOA) | Research Data Alliance (RDA) | Big Data and Analytics Association (BDAA) | Advanced Analytics Institute (AAI) | American Statistical Association
Related Conferences:
Marketing Analytics & Data Science Apr 8-10, 2019 San Francisco, USA; 20th Industrial Conference on Data Mining July 10-14, 2019, New York, USA; AI & Big Data Expo Global 25-26 Apr, 2018 London, UK; 3rd International Conference on Data Mining, Communications and Information Technology (DMCIT 2019) 24th - 26th May 2019 Beijing, China; 21st International Conference on Data Mining and Knowledge Management April 24 - 25, 2019, Boston, USA; 2nd International Conference on Data Mining and Knowledge Discovery April 26-28, 2019 Shanghai, China; International Conference on Data Mining May 2-4, 2019 Calgary, Alberta, Canada; Big Data Day LA August 11, 2018, Los Angeles; IEEE International Conference on Data Mining November 17-20,2018, Singapore; Indy Big Data Sep 26, 2018, Indianapolis, USA; ACM International web search and Data Mining February 5-9, 2018, Los Angeles; Global meeting on Big Data Analytics and Data Processing April 15-16, 2018, China, Hong Kong; AI & Big Data Expo April 25-26, 2018, Olympia, London
Session on: Data Mining for cyber security
Big security is a primary concern for any organization. Working in the field of data security and privacy, many organizations are taking this as a threat and taking measures to stop it. There are various data mining techniques available some are: Seeking out incomplete data, Dynamics data dashboard as database analysis, Text analysis, Efficient handling of complex and relational data, Relevance and scalability of chosen data mining algorithm. There are also many ready made tools available in the market that are leading the trends. These are Rapid Miner, WEKA, R- programming tool, Python based orange and NTLK, Knime and many more. It concludes Process of Data Mining, Methods, Malware detection, Detection Process, Data mining for fraud detection, Tools, Technique, Methodology. Join us in Big Data 2019 to know more about this session at Frankfurt, Germany.
Recommended: Big data | Big data conference | Big data Analytics | Big data Analytics conferences | Data Mining | Data Mining conference | Big Data Congress | Big Data Analytics Congress | Data Mining Meet | Data Mining Congress
Related societies and Association:
International Institute for Business Analysis (IIBA) | National Big data association | Big Data value Association (BDVA) | Asia Big Data Association | Institute of Analytics (IOA) | Research Data Alliance (RDA) | Big Data and Analytics Association (BDAA) | KDNET European Knowledge Discovery Network of Excellence | National Centre for Data Mining (NCDM) | SIGMOD | Web Analytics Association (WAA) | IEEE | INFORMS | International Institute for Analytics | German Data Center Association | Digital Analytics Association (DAA) | Noun Association for German Data base | Digital Analytics Association | Data Science Association | International Data Engineering and Science Association (IDEAS)
Related Conferences:
European Conference on Machine learning and knowledge discovery in databases 16-20 Sep 2019 Würzburg, Germany; 8th International conference on Data Science, Technology and Application July 26-28, 2019 Prague, Czech Republic; Marketing Analytics & Data Science Apr 8-10, 2019 San Francisco, USA; 20th Industrial Conference on Data Mining July 10-14, 2019, New York, USA; AI & Big Data Expo Global 25-26 Apr, 2018 London, UK; 3rd International Conference on Data Mining, Communications and Information Technology (DMCIT 2019) 24th - 26th May 2019 Beijing, China; 21st International Conference on Data Mining and Knowledge Management April 24 - 25, 2019, Boston, USA; Global meeting on Big Data Analytics and Data Processing April 15-16, 2018, China, Hong Kong; AI & Big Data Expo April 25-26, 2018, Olympia, London; Big Data Day LA August 11, 2018, Los Angeles; Strata Data Conference March 5-8,2018, San Jose; IEEE International Conference on Data Mining November 17-20,2018, Singapore
Session on: Security and privacy of big data
Security and protection have turned out to be huge business. As the risk turns out to be increasingly intense, the security arrangements being introduce to the market are likewise progressively modern. The present thought is that solitary arrangements are never again adequate to satisfactorily secure the endeavor. Every security arrangement accompanies extra multifaceted nature and typically, extra faculty to deal with the new application. The session gives idea about Data security Issues, protecting transaction logs and Data, Validation and Filtration of end point input, Data Provenance, Granular Auditing, Privacy protection for non-rational data stores, Granular access control, Securing and protecting data in real time and so on at Big Data 2019 in Frankfurt, Germany.
Recommended: Big data | Big data conference | Big data Analytics | Big data Analytics conferences | Data Mining | Data Mining conference | Big Data Congress | Big Data Analytics Congress | Data Mining Meet | Data Mining Congress
Related societies and Association:
International Institute for Business Analysis (IIBA) | IEEE | Advanced Analytics Institute (AAI) | National Big data association | Big Data value Association (BDVA) | Asia Big Data Association | Institute of Analytics (IOA) | Research Data Alliance (RDA) | German Data Center Association | Digital Analytics Association (DAA) | Noun Association for German Data base | Digital Analytics Association | Data Science Association | International Data Engineering and Science Association (IDEAS) | Big Data and Analytics Association (BDAA) | SIGKDD, ACM special interest group on knowledge discovery in data and data mining | National Centre for Data Mining (NCDM) | Web Analytics Association (WAA) | INFORMS
Related Conferences:
Marketing Analytics & Data Science Apr 8-10, 2019 San Francisco, USA; AI & Big Data Expo Global 25-26 Apr, 2018 London, UK; 8th International conference on Data Science, Technology and Application July 26-28, 2019 Prague, Czech Republic; 21st International Conference on Data Mining and Knowledge Management April 24 - 25, 2019, Boston, USA; The Twelfth ACM International Conference on Web Search and Data Mining 11-15 Feb 2019 Melbourne, VIC, Australia; International Conference on Data Mining May 2-4, 2019 Calgary, Alberta, Canada; 20th Industrial Conference on Data Mining July 10-14, 2019, New York, USA; Big Data Day LA August 11, 2018, Los Angeles; Indy Big Data Sep 26, 2018, Indianapolis, USA; Global meeting on Big Data Analytics and Data Processing April 15-16, 2018, China, Hong Kong; AI & Big Data Expo April 25-26, 2018, Olympia, London
Session on: Big Data Applications
As steadily increasing influx of population, we are in the need to better handle resources. Among these new trending technologies is the Internet of things and Big Data, which has revolutionised the way we analyse patterns and trends in human behaviour. With Big Data, existing fragmented and isolated data sets can be studied from an overarching perspective to provide effective solutions to common problems. Big data can provide insights that can be used to improve the operational effectiveness and working of educational institutes. With folks having access to numerous digital gadgets, the generation of huge quantity of information is inevitable and this is often main reason behind rise in huge data in media and entertainment industry. There square measure weather sensors and satellites deployed all-round the globe. A huge quantity of information is collected from them and so this data is employed to observe the weather and environmental conditions. In this session we can discuss big data applications in healthcare, Manufacturing, Media & Entertainment, IOT, Government sectors and so on. Join us to expand your knowledge in this session at Frankfurt, Germany.
Recommended: Big data | Big data conference | Big data Analytics | Big data Analytics conferences | Data Mining | Data Mining conference | Big Data Congress | Big Data Analytics Congress | Data Mining Meet | Data Mining Congress
Related societies and Association:
International Institute for Business Analysis ( IIBA)| KDNET, European Knowledge Discovery Network of Excellence | National Big data association | Big Data value Association (BDVA) | Asia Big Data Association | Institute of Analytics (IOA) | Research Data Alliance (RDA) | Big Data and Analytics Association ( BDAA) | German Data Cente Association | Digital Analytics Association ( DAA) | Noun Association for German Data base | Digital Analytics Association | Data Science Association | InternationalData Engineering and Science Association (IDEAS) | National Centre for Data Mining (NCDM) | SIGMOD | Web Analytics Association (WAA) | IEEE | SIGKDD, ACM special interest group on knowledge discovery in data and data mining
Related Conferences:
Marketing Analytics & Data Science Apr 8-10, 2019 San Francisco, USA; 20th Industrial Conference on Data Mining July 10-14, 2019, New York, USA; AI & Big Data Expo Global 25-26 Apr, 2018 London, UK; 3rd International Conference on Data Mining, Communications and Information Technology (DMCIT 2019) 24th - 26th May 2019 Beijing, China; 21st International Conference on Data Mining and Knowledge Management April 24 - 25, 2019, Boston, USA; The Twelfth ACM International Conference on Web Search and Data Mining 11-15 Feb 2019 Melbourne, VIC, Australia; International Conference on Management of Data 30 Jun 2019 - 05 Jul 2019 Amsterdam, Netherlands; Strata Data Conference March 5-8,2018, San Jose; Global Big Data conference Aug 28-30, 2018, Santa Clara, USA; IEEE International Conference on Data Mining November 17-20,2018, Singapore; AI & Big Data Expo April 25-26, 2018, Olympia, London; Global meeting on Big Data Analytics and Data Processing April 15-16, 2018, China, Hong Kong
Session on: Data Science vs Big Data
Data science has emerged as a new powerhouse for organizations, turning mountains of data into actionable business insights that impact every part of the business. The ability to use data science to make decisions with transparency and accountability comes down to many factors. Data science and machine learning bridge the gap between big data and usable data. The automation of the data science process is transforming how app developers, and developers across all sectors, are working with big data. Before automation, it took months between collecting data identifying use cases that could be put into production. New automation technologies have eliminated the manual processes associated with data science, democratizing the processes to leverage existing resources and enable faster time to value. In this session we can discuss about wide uses of data science, Applications of data science, Data science with data analytics, Python – Data Science and so on. To discover more about this session join us at Big Data 2019 at Frankfurt, Germany.
Recommended: Big data | Big data conference | Big data Analytics | Big data Analytics conferences | Data Mining | Data Mining conference | Big Data Congress | Big Data Analytics Congress | Data Mining Meet | Data Mining Congress
Related societies and Association:
KDNET, European Knowledge Discovery Network of Excellence | National Centre for Data Mining (NCDM) | SIGMOD | Web Analytics Association (WAA) | IEEE | SIGKDD, ACM special interest group on knowledge discovery in data and data mining | National Big data association | Big Data value Association (BDVA) | Asia Big Data Association | Institute of Analytics(IOA) | Research Data Alliance (RDA) | Big Data and Analytics Association (BDAA) | Advanced Analytics Institute (AAI) | German Data Center Association | Digital Analytics Association (DAA) | Noun Association for German Data base | Digital Analytics Association | Data Science Association | International Data Engineering and Science Association (IDEAS) | American Statistical Association | Data Mining Group (DMG) | The International machine learning society (IMLS) | INFORMS
Related Conferences:
European Conference on Machine learning and knowledge discovery in databases 16-20 Sep 2019 Würzburg, Germany; 8th International conference on Data Science, Technology and Application July 26-28, 2019 Prague, Czech Republic; Marketing Analytics & Data Science Apr 8-10, 2019 San Francisco, USA; 20th Industrial Conference on Data Mining July 10-14, 2019, New York, USA; AI & Big Data Expo Global 25-26 Apr, 2018 London, UK; 3rd International Conference on Data Mining, Communications and Information Technology (DMCIT 2019) 24th - 26th May 2019 Beijing, China; 21st International Conference on Data Mining and Knowledge Management April 24 - 25, 2019, Boston, USA; Big Data Day LA August 11, 2018, Los Angeles; Global meeting on Big Data Analytics and Data Processing April 15-16, 2018, China, Hong Kong; AI & Big Data Expo April 25-26, 2018, Olympia, London; Strata Data Conference March 5-8,2018, San Jose; ACM International web search and Data Mining February 5-9, 2018, Los Angeles
Session on: Industry solution through Big Data
By the help of today’s technology construction firms will simply capture the information through various devices and build their processes which is economical and simplified. On the other hand, many companies are trying to structure and analyse their data. Because of variety of advantages, construction firms welcoming Big data implementation. In this sessions researcher will be able to discuss about various industry solution of big data through Banking and Securities, Communication, Media & Entertainment, Healthcare providers, Education, Manufacturing and natural resources, Government sector, Insurance, Retail and whole sale trade, Transportation, Energy & Utilities and so on. We want to bring some of these topics to the forefront of the Big Data 2019 at Frankfurt, Germany.
Recommended: Big data | Big data conference | Big data Analytics | Big data Analytics conferences | Data Mining | Data Mining conference | Big Data Congress | Big Data Analytics Congress | Data Mining Meet | Data Mining Congress
Related societies and Association:
International Institute for Business Analysis (IIBA) | KDNET, European Knowledge Discovery Network of Excellence | National Centre for Data Mining (NCDM) | SIGMOD | Web Analytics Association ( WAA) | IEEE | The International machine learning society (IMLS) | INFORMS | German Data Center Association | Digital Analytics Association (DAA) | Noun Association for German Data base | Digital Analytics Association | Data Science Association | International Data Engineering and Science Association (IDEAS) | National Big data association | Big Data value Association (BDVA) | Asia Big Data Association | Institute of Analytics (IOA) | Research Data Alliance (RDA) | Big Data and Analytics Association (BDAA) | International Institute for Analytics
Related Conferences:
AI & Big Data Expo Global 25-26 Apr, 2018 London, UK; 3rd International Conference on Data Mining, Communications and Information Technology (DMCIT 2019) 24th - 26th May 2019 Beijing, China; 21st International Conference on Data Mining and Knowledge Management April 24 - 25, 2019, Boston, USA; 2nd International Conference on Data Mining and Knowledge Discovery April 26-28, 2019 Shanghai, China; The Twelfth ACM International Conference on Web Search and Data Mining 11-15 Feb 2019 Melbourne, VIC, Australia; International Conferenceon Management of Data 30 Jun 2019 - 05 Jul 2019 Amsterdam, Netherlands; European Conference on Machine learning and knowledge discovery in databases 16-20 Sep 2019 Würzburg, Germany; 8th International conference on Data Science, Technology and Application July 26-28, 2019 Prague, Czech Republic; Global meeting on Big Data Analytics and Data Processing April 15-16, 2018, China, Hong Kong; AI & Big Data Expo April 25-26, 2018, Olympia, London
The big data market is experiencing a massive growth owing to the remarkable increase in organizational data and spending on research and development. Global organizational spending is calculable to achieve over USD five hundred billion by the top of 2024. Increasing number of heterogeneous data generated from web clicks boosting the necessity to manage and monitor the data which will significantly impel the big data market growth in the near future.
Leading business players like IBM, HP, Google, SAP, Cloudera, and Oracle, are progressively investing in R&D, for the development of unified big data solution to produce improved analytics and integrated management of data. The BDA market accounted for $8.5 billion in 2017 and is expected to grow at a Compound Annual Growth Rate (CAGR) of 29.7% to $40.6 billion by 2023.
North America is likely to hold the biggest share of world big data market in 2016 and is anticipated to dominate the market throughout the forecast period. North America big data market is expected to grow at a CAGR of 15.6% during the forecast period.
Huge penetration of advance technologies and increase in data generation from different industries is driving the growth of big data market in the region. Europe holds the second largest share within the world massive big data market, and it's expected to grow at a CAGR of 19.1 % throughout the forecast period.
Rising manufacturing industries in Asia Pacific predicts to be the fastest growing region for global Hadoop market. Countries such as Japan, India and China are expected to lead the entire big data market in Asia-Pacific region over the forecast period.
Key Market Player:
This study on Big Data Analytics classifies the market into two major categories: knowledge Discovery and Visualization (DDV) and Advanced Analytics (AA). The market is driven by organizations realizing the operational benefits of BDA, improved DDV empowering organizations to higher target customers, accrued access to cloud-based models, enterprise-grade security and knowledge governance solutions offered by market vendors, and continuing vendor consolidation.
Why in Germany?
Big Data is one of the highest technology trends in Germany. Sales are expected to rise by 10 percent in German Market. It is the perfect time for foreign companies to seize the chance and invest.
Big Data remains one of the key topics in Germany and that is the reason market is growing impressively. According to a recent release by German high-tech association, sales of hardware, software and services in the field of Big Data will be approximately about 6.4 bn Euro.
The highest revenue generates the segment software. A profit of 3.1 bn Euro is expected to be redeemed this year. That’s a plus of 9 percent compared to 2017. The highest revenue generates the segment software. A profit of 3.1 bn Euro is expected to be redeemed this year. That’s a plus of 9 percent compared to 2017. It has found that the grow of sales for services in Big Data will be 11 percent to 2.5 bn Euro.
Hardware is the segment which according to the prognosis is the fastest growing Big Data segment – also from a small basis – with a rise of 18 percent. The turnover in Germany is expected to be 671 million Euros in 2018.
In top ten list of the most important technology trends, Big Data is one in Germany. 43 percent stated that Big Data is an important topic that is having a big impact in the German ITC market in 2018 according to the survey. Big Data made it to rank 5 of the lists.
Top Universities around the globe: -
Major Societies associated with Big Data around the globe: -
All accepted abstracts will be published in respective Allied Academies Journals.
Abstracts will be provided with Digital Object Identifier by
