Analysis of Classification Techniques in Data Mining

Data mining is a part of knowledge discovery process and information industry due to the vast availability of large amounts of data. The data mining is one comprehensive application of technology item relying on the statistical analysis, artificial intelligence and it has shown great commercial value and gradually to other profession penetration in the retail, insurance telecommunication, power industries use. Data mining technique usually fall into two categories Predictive and Descriptive. Predictive mining predict the trends and properties of unknown data based on the known data. Descriptive mining describes concepts or task relevant data sets in concise, summarative, informative and discriminative forms The objective of this paper is to analyze various Classification algorithms in Data mining. The Classification algorithm includes KNN, Decision tree, Naïve Bayes and Neural Network. The algorithms performances are analyzed with various dimensions.