| Publisher | Indian Institute of Technology Bombay | ||
|---|---|---|---|
| Format | 112.3KB PDF | Date added | 15 Nov 2004 |
| Topics | Network Security, Security Tools, Intrusion Detection Systems | ||
| Downloads | 92 | ||
Classification and clustering techniques in data mining are useful for a wide variety of real time applications dealing with large amount of data. Some of the applications of data mining are text classification, selective marketing, medical diagnosis, intrusion detection systems. Intrusion detection system are software system for identifying the deviations from the normal behavior and usage of the system. They detect attacks using the data mining techniques - classification and clustering algorithms. This report discusses approaches based on classification techniques like naive bayesian classifiers, neural networks and WINNOW based algorithm.
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