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A Review of Classification Algorithms for Data Mining

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DOI: 10.23977/meet.2019.93758


Li Mindong, Chen Qingwei, Huang Panling, Zhou Jun, Gong Weike

Corresponding Author

Zhou Jun


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.


Data Mining, Classification Algorithm, Review

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