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2013 IEEE 37th Annual Computer Software and Applications Conference (2002)
Oxford, England
Aug. 26, 2002 to Aug. 29, 2002
ISSN: 0730-3157
ISBN: 0-7695-1727-7
pp: 1123
T. Y. Lin , California State University at San Jose
Shusaku Tsumoto , Shimane Medical University
James F. Peters , University of Manitoba
ABSTRACT
This workshop introduces the foundations of data mining in the context of granular and rough computing. Unlike conventional data mining research, this workshop focuses on deep reflection into the meaning of patterns obtained from data. Since patterns are embedded in sets of real world objects, algebraic or geometric views on sets may play important roles. For this purpose, granular and rough computing are most important methodologies. In other words, granular and rough computing gives one of the best tools to analyze algebraic or geometric characteristics of patterns and data.
INDEX TERMS
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CITATION
T. Y. Lin, Shusaku Tsumoto, James F. Peters, "Foundations of Data Mining via Granular and Rough Computing", 2013 IEEE 37th Annual Computer Software and Applications Conference, vol. 00, no. , pp. 1123, 2002, doi:10.1109/CMPSAC.2002.1045161
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