A Review of Classification Algorithms for Data Mining

摘要：

　　Classification algorithm is one of the important algorithms in data mining.Common classification algorithms such as decision tree,Bayesian network,support vector machine,association rules based classification algorithm and K-nearest neighbor algorithm have been widely used.This paper introduces the classical classification algorithm,compares the advantages and disadvantages of each algorithm and the latest research progress of each algorithm.

关键词： data mining classification algorithm review

作者: Li Mindong Chen Qingwei Huang Panling Zhou Jun Gong Weike

作者单位: Shandong University,Jinan,China Shandong Bosheng Power Technology CO.,LTD,Linyi,China

会议类型: 国际会议

会议名称: 2019 2nd International Conference on Mechanical, Electronic and Engineering Technology (MEET 2019) 2019年第二届机电与工程技术国际会议

会议地点: 西安

会议语种:英文

页码: 364-370

在线出版日期: 2019-01-19（万方平台首次上网日期，不代表论文的发表时间）