文章基本信息

标题：Performance Analysis of Data Mining Classification Techniques
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作者：Tejas Mehta ; Dr. Dhaval Kathiriya
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2016
卷号：5
期号：3
页码：3116
DOI：10.15680/IJIRSET.2016.0503061
出版社：S&S Publications
摘要：Data mining is the process of analyzing data from large dataset and transforms it into an understandablestructure using data mining techniques. In this research, we use some major classification techniques like Bayesiannetworks, Artificial Neural Network, K-nearest neighbor and decision tree for our experiment. The goal of this study isto provide comparison of experimental result for different data mining classification techniques.
关键词：Data Mining; Data Mining Classification Techniques; Naïve Bayes; Artificial Neural Network (ANN);K-Nearest Neighbors (KNN); Decision Tree.