Paper
18 April 2006 Granular computing for data mining
Author Affiliations +
Abstract
Granular computing, as an emerging research field, provides a conceptual framework for studying many issues in data mining. This paper examines some of those issues, including data and knowledge representation and processing. It is demonstrated that one of the fundamental tasks of data mining is searching for the right level of granularity in data and knowledge representation.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yiyu Yao "Granular computing for data mining", Proc. SPIE 6241, Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2006, 624105 (18 April 2006); https://doi.org/10.1117/12.669023
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Cited by 60 scholarly publications.
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KEYWORDS
Data mining

Mining

Complex systems

Fuzzy logic

Data modeling

Computer programming

Computing systems

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