An Improved DM Algorithm Based on Rough Set Theory

An Improved DM Algorithm Based on Rough Set Theory

The basic idea of an improved algorithm is outlined in this paper firstly, includes main steps and the advantages and disadvantages of CART algorithm; and then the definitions of attribute importance and the system comprehensive information entropy and the algorithm of maintaining maximum system com...

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Bibliographische Detailangaben
Hauptverfasser: Yang, Zu-Qiao, Xiao, Xiao-Hong, Gao, Han-Ping
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Computer science
Data mining
Decision trees
Delta modulation
Erbium
Information entropy
Information systems
Neural networks
Rail to rail inputs
Set theory
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Beschreibung
Zusammenfassung:The basic idea of an improved algorithm is outlined in this paper firstly, includes main steps and the advantages and disadvantages of CART algorithm; and then the definitions of attribute importance and the system comprehensive information entropy and the algorithm of maintaining maximum system comprehensive information entropy are presented. Compares to some disadvantages of CART algorithm such as low computation efficiency of extraction rules and long rule length, the improved algorithm has effect in the experimental result.
ISSN:2161-9646
DOI:10.1109/WICOM.2007.769