Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/8274
Title: A comparative study of incomplete and complete information systems
Authors: Wang, CZ
Chen, DG
Tsang, ECC
Keywords: Data mining
Data reduction
Rough set theory
Issue Date: 2003
Publisher: IEEE
Source: 2003 International Conference on Machine Learning and Cybernetics, 2-5 November 2003, v. 3, p. 1435-1437 How to cite?
Abstract: This paper investigates some definitions and properties of covers of incomplete information systems, and transformation from covering systems to its corresponding partitions. The concepts of reduction of covers are introduced and the procedure to find a reduction for a cover is given. It has been proven that the reduction of a cover is equivalent to that of its corresponding induced partition of information system, so this concept is also a technique to eliminate redundancy in data mining.
URI: http://hdl.handle.net/10397/8274
ISBN: 0-7803-8131-9
DOI: 10.1109/ICMLC.2003.1259718
Appears in Collections:Conference Paper

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