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An Incremental Classification Algorithm for Data Stream Based on Information Entropy Diversity Measure

Dianxin Kexue, 2015-02, Vol.31 (2), p.2015014-1-2015014-11

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Title:
An Incremental Classification Algorithm for Data Stream Based on Information Entropy Diversity Measure
Author: Ju, Chunhua ; Zou, Jiangbo
Subjects: Algorithms ; Classification ; Classifiers ; Costs ; Data transmission ; Dynamical systems ; Entropy (Information theory) ; Entropy (Information theory) (Information)
Is Part Of: Dianxin Kexue, 2015-02, Vol.31 (2), p.2015014-1-2015014-11
Description: The diversity between classifiers was studied and an incremental classification algorithm for data stream based on information entropy diversity measure was proposed, the method of information entropy diversity measure was integrated into the selection process of base classifiers, the information entropy diversity of base classifier which trained from training data was calculated, by means of cyclic iterative as optimization method and entropy diversity us optimization constrained goal, the numbers of base classifiers was dynamic adjusted that improved the classification accuracy and stability to reduce system costs. The experiments prove that the algorithm has less cost and strong adaptability compare with other data stream algorithm when processing data stream.
Language: Chinese
Identifier: ISSN: 1000-0801
DOI: 10.11959/j.issn.1000-0801.2015025
Source: 国家哲学社会科学学术期刊数据库 (National Social Sciences Database)
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