A Survey on Classification and Rule Extraction Techniques for Datamining

Classification is a data mining function that assigns similar data to categories or classes. The main goal is to accurately predict the class for each data. Different classification algorithms such as C4.5, k-nearest neighbor (KNN) classifier, Naive Bayes, SVM (Support Vector Machine), Apriori, and AdaBoost have been used for data mining applications. This paper provides a survey of different classification algorithms for data mining applications.

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