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
Application of decision tree mining algorithms based on information entropy in the intelligent electric power marketing
Dept. of Trans., Fujian Univ. of Tech., Fuzhou 350108, China;
Quanzhou Electr. Power Bearu of Fujian Province, Quanzhou 362000, China
Received Date:
2011-12-15 Available Online:
2012-05-15
Abstract
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.
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