UM
Automatic decision support by information energy decision tree algorithm
Liu, Run Zong1; Tang, Yuan Yan1; Fang, Bin2
2014
Conference Name2014 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2014
Source PublicationConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Volume2014-January
IssueJanuary
Pages4047-4051
Conference Date10 5, 2014 - 10 8, 2014
Conference PlaceSan Diego, CA, United states
Author of SourceInstitute of Electrical and Electronics Engineers Inc.
PublisherIEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Abstract

The application of information entropy to decision tree algorithms has been shown to produce very accurate classifiers. Information entropy is utilized to ensure that the average distance of paths from the non-leaf node to each descendant leaf node of the decision tree is shortest. Therefore, it works well for data set which covers all the underlying rules. But it is lack of prediction ability when the training data set can not cover all the underlying rules. In this paper, we propose a novel indicator, information energy, to generate decision tree. Information energy describes the distance from the current state of a data set to its balance state. Proper selection of attribute can divide a data set into a state of higher information energy and produce classification rules of prediction ability. A generator of random sample sets and rules is designed to provide synthetic samples for experimental verification. Experimental results show that information energy outperforms information entropy in both speed and accuracy when the training data set can not cover all the underlying rules. © 2014 IEEE.

KeywordAutomatic Decision Support Decision Tree Information Energy Data Mining
DOIhttps://doi.org/10.1109/SMC.2014.6974566
Indexed BySCIE
Language英語English
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Cybernetics ; Computer Science, Information Systems
WOS IDWOS:000370963704031
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Citation statistics
Cited Times [WOS]:2   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
CollectionUniversity of Macau
Affiliation1.University of Macau and Chongqing University, China
2.Chongqing University, China
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Liu, Run Zong,Tang, Yuan Yan,Fang, Bin. Automatic decision support by information energy decision tree algorithm[C]//Institute of Electrical and Electronics Engineers Inc.:IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA,2014:4047-4051.
APA Liu, Run Zong,Tang, Yuan Yan,&Fang, Bin.(2014).Automatic decision support by information energy decision tree algorithm.Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics,2014-January(January),4047-4051.
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