NDLI: Knowledge reduction based on incremental algorithms on attribute space

Content Provider	IEEE Xplore Digital Library
Author	Dao Guo Li Fu Chun Xia Da Wei Liu
Copyright Year	2008
Description	Author affiliation: Inst. of Manage. Sci. & Inf. Eng., Hangzhou Dianzi Univ., Hangzhou (Dao Guo Li)
Abstract	Information System is a kind of important form of knowledge representation system, and most of the existing incremental algorithm investigators focus on adding objects to IS. In this paper, the change laws of the core and the reductions with increasing any attributes to a information system are discussed based on the concepts defined, then the a single attribute incremental algorithm and the many attributes incremental algorithm are presented. The examples show that the efficiency of computing of the core and the reductions of the extension information system based on the incremental algorithms may be improved.
Starting Page	262
Ending Page	267
File Size	441375
Page Count	6
File Format	PDF
ISBN	9781424420957
DOI	10.1109/ICMLC.2008.4620415
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-07-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Information systems Algorithm design and analysis Machine learning Cybernetics Iterative algorithm Data mining Image processing Incremental Algorithm Rough Sets Information System Attribute Reduction Restrained relative positive region
Content Type	Text
Resource Type	Article

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Knowledge reduction based on incremental algorithms on attribute space