Genetic Algorithm for Classification in Data Mining
Author(s) : SHASHANK SONI, ANURADHA PUROHIT, JAI KUMAR RAI, POOJA SHARMA, VAISHALI GUPTA
Abstract
This paper focuses on performing rule based classification in Data Mining using Genetic Algorithm (GA). The objective functions namely comprehensibility, predictive accuracy, interestingness, coverage are used to evaluate the fitness value of each classification rule obtained using GA. For presenting our approach a real dataset is used. Experimental results shows that the rule based classification designed using GA efficiently identify the pattern using multiple objective functions.
Conference Title : International Conference on Advanced Computing, Communication and Networks - CCN 2011
Conference Date(s) : June 2-3, 2011
Place : Hotel Aroma, Chandigarh, India
No fo Author(s) : 5
DOI :
Page(s) : 197 - 201
Electronic ISBN :
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