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 readymade 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 Amsterdam, Netherlands.
- Data mining for malware detection
- Data mining for Intrusion detection
- Data mining for fraud detection