Optimal Data Mining Techniques for Security Means

  • Abhijeet Pawade University of Pune
  • Amit S Powade
  • Sanjeev C Mhamane
Keywords: Database mining, database security, Intrusion detection, oblivious decision tree

Abstract

Generally, data mining is called data or knowledge discovery. The process of analyzing data from dissimilar perspectives and summarizing it into serviceable information. Information that can be used to expand revenue, cuts costs or both. Data mining software is one of the analytical tools for analyzing data. It permits users to analyze data from numerous different dimensions or angles, categorize and summarize the relationships identified. Technically, data mining is the process of finding patterns among dozens of fields in large relational databases.

References

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[2] Wenke Lee, Sal Stolfo, and KuiMok. A Data Mining Framework for Building Intrusion Detection Models. IEEE Symposium on Security and Privacy, 1999.
[3] Mrutyunjaya Panda and ManasRanjanPatra, “A Comparative Study Of Data Mining Algorithms For Network Intrusion Detection”, First International Conference on Emerging Trends in Engineering and Technology, pp 504-507, IEEE, 2008.
[4] International Journal of Computer Science Trends and Technologyhttp://www.ijcstjournal.org/volume-3/issue-1/IJCSTV3l1P12.pdf, 2015.
[5] International Journal of Advanced Research in Computer and Communication Engineering Vol. 3, Issue 6, June 2014.
Published
2018-03-23
How to Cite
Pawade, A., Powade, A., & Mhamane, S. (2018). Optimal Data Mining Techniques for Security Means. Asian Journal For Convergence In Technology (AJCT) ISSN -2350-1146, 1(1). Retrieved from http://asianssr.org/index.php/ajct/article/view/111
Section
Article

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