COMPARATIVE STUDY ON ASSOCIATIVECLASSIFICATION TECHNIQUES
Keywords:
Data mining, Classification, Association, Associative Classification, MMAC, CBA,TOPAC,CMAR,CPARAbstract
Most recent work has been focused on classification based on association rule mining
algorithm. There is growing evidence that merging classification and association rule mining
together can produce more efficient and accurate classification systems than traditional classification
techniques. In the last few years, a new approach that integrates association rule mining with
classification has emerged. Many experimental studies showed that \classification based on
association rules mining is a high potential approach that constructs more predictive and accurate
classification systems than traditional classification methods like decision trees Moreover, many of
the rules found by associative classification methods cannot be found by traditional classification
techniques. In this Paper we compare some of these techniques with traditional classifiers.
