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Uncertainty Modeling for Data Mining
A Label Semantics Approach
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Focusing on fuzzy set theory's application in data mining, this volume introduces innovative algorithms and provides extensive visual aids, including numerous figures and illustrations, to enhance understanding of complex concepts. It outlines a new research direction, making it a valuable resource for those looking to explore advanced methodologies in data analysis.
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Uncertainty Modeling for Data Mining, Zengchang Qin, Yongchuan Tang
- Language
- Released
- 2014
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- Title
- Uncertainty Modeling for Data Mining
- Subtitle
- A Label Semantics Approach
- Language
- English
- Authors
- Zengchang Qin, Yongchuan Tang
- Publisher
- Springer, Berlin
- Released
- 2014
- Format
- Hardcover
- Pages
- 291
- ISBN13
- 9783642412509
- Category
- Computers, IT, Programming
- Description
- Focusing on fuzzy set theory's application in data mining, this volume introduces innovative algorithms and provides extensive visual aids, including numerous figures and illustrations, to enhance understanding of complex concepts. It outlines a new research direction, making it a valuable resource for those looking to explore advanced methodologies in data analysis.