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Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2011
ISBN 10: 3642249175 ISBN 13: 9783642249174
Language: English
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Paperback. Condition: new. Paperback. This book constitutes the refereed proceedings of the International Symposium on Integrated Uncertainty in Knowledge Modeling and Decision Making, IUKM 2011, held in Hangzhou, China, in October 2011. The 21 revised full papers presented together with 1 keynote lecture and 5 invited talks were carefully reviewed and selected from 55 submissions. The papers provide a wealth of new ideas and report both theoretical and applied research on integrated uncertainty modeling and management. This book constitutes the refereed proceedings of the International Symposium on Integrated Uncertainty in Knowledge Modeling and Decision Making, IUKM 2011, held in Hangzhou, China, in October 2011. The papers provide a wealth of new ideas and report both theoretical and applied research on integrated uncertainty modeling and management. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Condition: Fine. 310 pp., hardcover, previous owner's name neatly inked to the title page, else fine. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.
Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2014
ISBN 10: 3642412505 ISBN 13: 9783642412509
Language: English
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condition: new. Hardcover. 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. Machine learning and data mining are inseparably connected with uncertainty. Uncertainty Modeling for Data Mining: A Label Semantics Approach introduces 'label semantics', a fuzzy-logic-based theory for modeling uncertainty. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Condition: New. pp. 420.
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Add to basketCondition: New. pp. 420 70 Illus.
Published by Springer-Verlag New York Inc, 2011
ISBN 10: 3642249175 ISBN 13: 9783642249174
Language: English
Seller: Revaluation Books, Exeter, United Kingdom
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Add to basketPaperback. Condition: Brand New. 2011 edition. 267 pages. 9.00x6.00x0.50 inches. In Stock.
Condition: New. pp. 420.
Seller: California Books, Miami, FL, U.S.A.
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Published by Springer Berlin Heidelberg, 2011
ISBN 10: 3642249175 ISBN 13: 9783642249174
Language: English
Seller: moluna, Greven, Germany
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Add to basketKartoniert / Broschiert. Condition: New. Up-to-date resultsFast track conference proceedingsState-of-the-art reportThis book constitutes the refereed proceedings of the International Symposium on Integrated Uncertainty in Knowledge Modeling and Decision Making, IUKM 2011, .
Seller: Revaluation Books, Exeter, United Kingdom
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Add to basketHardcover. Condition: Brand New. 2014 edition. 291 pages. 9.29x6.30x0.94 inches. In Stock.
Published by Springer, Berlin, Springer Berlin Heidelberg, Springer, 2011
ISBN 10: 3642249175 ISBN 13: 9783642249174
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Add to basketTaschenbuch. Condition: Neu. Neuware - This book constitutes the refereed proceedings of the International Symposium on Integrated Uncertainty in Knowledge Modeling and Decision Making, IUKM 2011, held in Hangzhou, China, in October 2011. The 21 revised full papers presented together with 1 keynote lecture and 5 invited talks were carefully reviewed and selected from 55 submissions. The papers provide a wealth of new ideas and report both theoretical and applied research on integrated uncertainty modeling and management.
Published by Springer-Verlag GmbH, 2011
ISBN 10: 3642249175 ISBN 13: 9783642249174
Language: English
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Add to basketCondition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.
Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2014
ISBN 10: 3642412505 ISBN 13: 9783642412509
Language: English
Seller: AussieBookSeller, Truganina, VIC, Australia
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Add to basketHardcover. Condition: new. Hardcover. 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. Machine learning and data mining are inseparably connected with uncertainty. Uncertainty Modeling for Data Mining: A Label Semantics Approach introduces 'label semantics', a fuzzy-logic-based theory for modeling uncertainty. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Published by Springer Berlin Heidelberg, 2014
ISBN 10: 3642412505 ISBN 13: 9783642412509
Language: English
Seller: moluna, Greven, Germany
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Add to basketCondition: New. A new research direction of fuzzy set theory in data miningOne of the first monographs of studying the transparency of data mining modelsContains more than 60 figures and illustrations in order to explain complicated conceptsMach.
Seller: Revaluation Books, Exeter, United Kingdom
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Add to basketHardcover. Condition: Brand New. 2014 edition. 291 pages. 9.29x6.30x0.94 inches. In Stock.
Condition: Fine. The book is in fine condition.