DocumentCode
578170
Title
An algorithm for decision tree and attribute reduction
Author
Zhang, Qun-Feng ; Zhang, Yu-Fen ; Hao, Ming-Zhu
Author_Institution
Machine Learning Center, Hebei Univ., Baoding, China
Volume
2
fYear
2012
fDate
15-17 July 2012
Firstpage
806
Lastpage
809
Abstract
A decision tree and an attribute reduct from the same crisp decision table are often obtained respectively with different algorithms. Developing an algorithm for both of them is theoretically important and practically useful. This paper proposes an algorithm generating both decision tree and attribute reduction from a crisp decision table.
Keywords
decision tables; decision trees; knowledge representation; rough set theory; attribute reduction; decision table; decision tree; knowledge representation system; rough set; Abstracts; Rain; Random access memory; Attribute reduct; Decision table; Decision tree; Degree of importance; Rough set;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2012 International Conference on
Conference_Location
Xian
ISSN
2160-133X
Print_ISBN
978-1-4673-1484-8
Type
conf
DOI
10.1109/ICMLC.2012.6359029
Filename
6359029
Link To Document