A Review of Classification Algorithms for Data Mining
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DOI: 10.23977/meet.2019.93758
Author(s)
Li Mindong, Chen Qingwei, Huang Panling, Zhou Jun, Gong Weike
Corresponding Author
Zhou Jun
ABSTRACT
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.
KEYWORDS
Data Mining, Classification Algorithm, Review