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An improved improved Id3 algorithm for medical data classification
Shuo Yang; Jing-Zhi Guo; Jun-Wei Jin
2018-01
Source PublicationCOMPUTERS & ELECTRICAL ENGINEERING
ISSN0045-7906
Volume65Pages:474-487
Abstract

Data mining techniques play an important role in clinical decision making, which provides physicians with accurate, reliable and quick predictions through building different models. This paper presents an improved classification approach for the prediction of diseases based on the classical Iterative Dichotomiser 3 (Id3) algorithm. The improved Id3 algorithm overcomes multi-value bias problem when selecting test/split attributes, solves the issue of numeric attribute discretization and stores the classifier model in the form of rules by using a heuristic strategy for easy understanding and memory savings. Experiment results show that the improved Id3 algorithm is superior to the current four classification algorithms (J48, Decision Stump, Random Tree and classical Id3) in terms of accuracy, stability and minor error rate. (C) 2017 Elsevier Ltd. All rights reserved.

KeywordId3 Algorithm Decision Tree Balance Function Numeric Attribute Discretization Rule Representation Of Classifier Model
DOIhttp://doi.org/10.1016/j.compeleceng.2017.08.005
URLView the original
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Hardware & Architecture ; Computer Science, Interdisciplinary Applications ; Engineering, Electrical & Electronic
WOS IDWOS:000425074300040
PublisherPERGAMON-ELSEVIER SCIENCE LTD
The Source to ArticleWOS
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Cited Times [WOS]:1   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorShuo Yang; Jing-Zhi Guo; Jun-Wei Jin
AffiliationDepartment of Computer and Information Science,Faculty of Science and Technology,University of Macau, Macau
First Author AffilicationFaculty of Science and Technology
Corresponding Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Shuo Yang,Jing-Zhi Guo,Jun-Wei Jin. An improved improved Id3 algorithm for medical data classification[J]. COMPUTERS & ELECTRICAL ENGINEERING,2018,65:474-487.
APA Shuo Yang,Jing-Zhi Guo,&Jun-Wei Jin.(2018).An improved improved Id3 algorithm for medical data classification.COMPUTERS & ELECTRICAL ENGINEERING,65,474-487.
MLA Shuo Yang,et al."An improved improved Id3 algorithm for medical data classification".COMPUTERS & ELECTRICAL ENGINEERING 65(2018):474-487.
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