Uncertainty modeling for data mining: a label semantics approach
Machine learning and data mining are inseparably connected with uncertainty. The observable data for learning is usually imprecise, incomplete or noisy. Uncertainty Modeling for Data Mining : A Label Semantics Approach introduces 'label semantics', a fuzzy-logic-based theory for modeling uncertainty. Several new data mining algorithms based on label semantics are proposed and tested on real-world datasets. A prototype interpretation of label semantics and new prototype-based data mining algorit…
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- Full title :Uncertainty modeling for data mining : a label semantics approach / Zengchang Qin, Yongchuan Tang.
Summary
Machine learning and data mining are inseparably connected with uncertainty. The observable data for learning is usually imprecise, incomplete or noisy. Uncertainty Modeling for Data Mining : A Label Semantics Approach introduces 'label semantics', a fuzzy-logic-based theory for modeling uncertainty. Several new data mining algorithms based on label semantics are proposed and tested on real-world datasets. A prototype interpretation of label semantics and new prototype-based data mining algorithms are also discussed. This book offers a valuable resource for postgraduates, researchers and other professionals in the fields of data mining, fuzzy computing and uncertainty reasoning. Zengchang Qin is an associate professor at the School of Automation Science and Electrical Engineering, Beihang University, China; Yongchuan Tang is an associate professor at the College of Computer Science, Zhejiang University, China.--[Source inconnue].
Read More ↓Edition Statements
- Publication Date:2014
Publication Statements
- Publisher(s):Springer
- Place of Publication:Dordrecht
- Language:eng
- Publication Date:2014
Notes
Titre de l'écran-titre (visionné le 14 janvier 2015).
The Physical Object
- Description:1 ressource en ligne (420 pages) : : illustrations, fichiers PDF
Edition Identifiers
- ISBN:9783642412516, 3642412513
- oclc:on1132174541
- LC Classification:Q375
- Dewey Decimal:003/.54
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