A Review of Classification Algorithms for Data Mining

被引：2

作者：

Li Mindong ^{[1
]}

Chen Qingwei ^{[1
]}

Huang Panling ^{[1
]}

Zhou Jun ^{[1
]}

Gong Weike ^{[2
]}

机构：

[1] Shandong Univ, Jinan, Shandong, Peoples R China

[2] Shandong Bosheng Power Technol CO LTD, Linyi, Shandong, Peoples R China

来源：

2019 2ND INTERNATIONAL CONFERENCE ON MECHANICAL, ELECTRONIC AND ENGINEERING TECHNOLOGY (MEET 2019) | 2019年

关键词：

data mining; classification algorithm; review;

D O I：

10.23977/meet.2019.93758

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

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.

引用

页码：364 / 370

页数：7

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