Coverart for item
The Resource Uncertainty modeling for data mining : a label semantics approach, Zengchang Qin, Yongchuan Tang, (electronic book)

Uncertainty modeling for data mining : a label semantics approach, Zengchang Qin, Yongchuan Tang, (electronic book)

Label
Uncertainty modeling for data mining : a label semantics approach
Title
Uncertainty modeling for data mining
Title remainder
a label semantics approach
Statement of responsibility
Zengchang Qin, Yongchuan Tang
Creator
Contributor
Author
Subject
Language
eng
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
Member of
Cataloging source
N$T
http://library.link/vocab/creatorName
Qin, Zengchang
Dewey number
003/.54
Illustrations
illustrations
Index
no index present
LC call number
Q375
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
Tang, Yongchuan
Series statement
Advanced Topics in Science and Technology in China,
http://library.link/vocab/subjectName
  • Uncertainty (Information theory)
  • Data mining
  • SCIENCE / System Theory
  • TECHNOLOGY & ENGINEERING / Operations Research
Label
Uncertainty modeling for data mining : a label semantics approach, Zengchang Qin, Yongchuan Tang, (electronic book)
Instantiates
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references
Color
multicolored
Control code
SPR894509487
Dimensions
unknown
Extent
1 online resource (420 pages)
File format
unknown
Form of item
online
Isbn
9783642412516
Level of compression
unknown
Other control number
10.1007/978-3-642-41251-6
Other physical details
illustrations.
Quality assurance targets
not applicable
Reformatting quality
unknown
Reproduction note
Electronic resource.
Sound
unknown sound
Specific material designation
remote
Label
Uncertainty modeling for data mining : a label semantics approach, Zengchang Qin, Yongchuan Tang, (electronic book)
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references
Color
multicolored
Control code
SPR894509487
Dimensions
unknown
Extent
1 online resource (420 pages)
File format
unknown
Form of item
online
Isbn
9783642412516
Level of compression
unknown
Other control number
10.1007/978-3-642-41251-6
Other physical details
illustrations.
Quality assurance targets
not applicable
Reformatting quality
unknown
Reproduction note
Electronic resource.
Sound
unknown sound
Specific material designation
remote

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