Enhanced Cultural Algorithm of Data Mining for Intrusion Detection System
نویسنده
چکیده
Classification rule mining is a class of problems which is the most sought out by decision makers since they produce comprehensible form of knowledge. The user should be ready to specify the properties of the foundations. The foundations discovered should have a number of these properties to render them helpful. This work proposes to enhance the cultural algorithm by application of ANT clustering mechanism to improve the performance of the system. Simple Ant clustering without cultural algorithm has also been implemented for comparison of the system.
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تاریخ انتشار 2016