Survey of Classification Techniques in Data Mining

被引：0
作者：
Phyu, Thair Nu [1 ]
机构：
[1] Univ Comp Studies, Pakokku, Myanmar
来源：
IMECS 2009: INTERNATIONAL MULTI-CONFERENCE OF ENGINEERS AND COMPUTER SCIENTISTS, VOLS I AND II | 2009年
关键词：
Bayesian; classification technique; fuzzy logic; NAIVE-BAYES CLASSIFIERS; LEARNING ALGORITHMS; DECISION TREES; NETWORKS;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Classification is a data mining (machine learning) technique used to predict group membership for data instances. In this paper, we present the basic classification techniques. Several major kinds of classification method including decision tree induction, Bayesian networks, k-nearest neighbor classifier, case-based reasoning, genetic algorithm and fuzzy logic techniques. The goal of this survey is to provide a comprehensive review of different classification techniques in data mining.
引用
收藏
页码：727 / 731
页数：5
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