JOURNAL OF LIGHT INDUSTRY

CN 41-1437/TS  ISSN 2096-1553

Volume 27 Issue 3
May 2012
Article Contents
DAI Xiao-ting, CHEN Rong-si and XIAO Bing. Application of decision tree mining algorithms based on information entropy in the intelligent electric power marketing[J]. Journal of Light Industry, 2012, 27(3): 49-52. doi: 10.3969/j.issn.1004-1478.2012.03.013
Citation: DAI Xiao-ting, CHEN Rong-si and XIAO Bing. Application of decision tree mining algorithms based on information entropy in the intelligent electric power marketing[J]. Journal of Light Industry, 2012, 27(3): 49-52. doi: 10.3969/j.issn.1004-1478.2012.03.013 shu

Application of decision tree mining algorithms based on information entropy in the intelligent electric power marketing

  • Received Date: 2011-12-15
    Available Online: 2012-05-15
  • Aiming at the problem that the current electric power marketing management system was lack of effective marketing data for decision support,the decision tree mining algorithm was applied in electric power marketing based on the information entropy,and the power customer classification model was established.Practical application results indicated that the classfication model had better predictive classification ability,and was able to meet the needs of customers'timely and accurate classification in electric power marketing.

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