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Text Mining: Classification, Clustering, and Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Book 11 of 56: Chapman & Hall/CRC Data Mining and Knowledge DiscoveryLanguage: English
Published by Chapman and Hall/CRC, 2009
ISBN 10: 1420059408 ISBN 13: 9781420059403
Hardcover. Condition: Very Good. Book has minor rubbing to the covers, otherwise in very good condition. Well-bound with bright pages that are crisp and unmarked.
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Text Mining: Classification, Clustering, and Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Book 11 of 56: Chapman & Hall/CRC Data Mining and Knowledge DiscoveryLanguage: English
Published by Chapman and Hall/CRC, 2009
ISBN 10: 1420059408 ISBN 13: 9781420059403
Hardcover. Condition: New. In shrink wrap. Looks like an interesting title!
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Rough Set and Statistical Approach to Knowledge Discovery | Dimension Reduction, Clustering and Classification Techniques
Language: English
Published by VDM Verlag Dr. Müller, 2011
ISBN 10: 3639347668 ISBN 13: 9783639347661
Taschenbuch. Condition: Neu. Rough Set and Statistical Approach to Knowledge Discovery | Dimension Reduction, Clustering and Classification Techniques | Asit Kumar Das (u. a.) | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639347661 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Classification and Clustering for Knowledge Discovery
Language: English
Published by Springer Berlin / Heidelberg, 2005
ISBN 10: 3540260730 ISBN 13: 9783540260738
Condition: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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Text Mining: Classification, Clustering, and Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Book 11 of 56: Chapman & Hall/CRC Data Mining and Knowledge DiscoveryLanguage: English
Published by Chapman and Hall/CRC, 2009
ISBN 10: 1420059408 ISBN 13: 9781420059403
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 124.74
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Classification and Clustering for Knowledge Discovery (Studies in Computational Intelligence, 4)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 136.79
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Condition: New.
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Classification And Clustering for Knowledge Discovery
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 136.78
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Ships from United Kingdom to U.S.A.Quantity: Over 20 available
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Classification and Clustering for Knowledge Discovery (Studies in Computational Intelligence, 4)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 167.27
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Condition: New. pp. 374.
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Condition: New. pp. 370.
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Taschenbuch. Condition: Neu. Classification and Clustering for Knowledge Discovery | Saman K. Halgamuge (u. a.) | Taschenbuch | Studies in Computational Intelligence | xii | Englisch | 2010 | Springer | EAN 9783642065422 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Classification and Clustering for Knowledge Discovery
Language: English
Published by Springer Berlin Heidelberg, 2005
ISBN 10: 3540260730 ISBN 13: 9783540260738
Condition: New. Knowledge Discovery today is a significant study and research area. In finding answers to many research questions in this area, the ultimate hope is that knowledge can be extracted from various forms of data around us. This book covers recent advances in.
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Classification and Clustering for Knowledge Discovery
Language: English
Published by Springer Berlin Heidelberg, 2010
ISBN 10: 3642065422 ISBN 13: 9783642065422
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Knowledge Discovery today is a significant study and research area. In finding answers to many research questions in this area, the ultimate hope is that knowledge can be extracted from various forms of data around us. This book covers recent advances in unsupervised and supervised data analysis methods in Computational Intelligence for knowledge discovery. In its first part the book provides a collection of recent research on distributed clustering, self organizing maps and their recent extensions. If labeled data or data with known associations are available, we may be able to use supervised data analysis methods, such as classifying neural networks, fuzzy rule-based classifiers, and decision trees. Therefore this book presents a collection of important methods of supervised data analysis. 'Classification and Clustering for Knowledge Discovery' also includes variety of applications of knowledge discovery in health, safety, commerce, mechatronics, sensor networks, and telecommunications.
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Paperback. Condition: Like New. Like New. book.
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Classification And Clustering for Knowledge Discovery
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 226.99
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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Classification and Clustering for Knowledge Discovery
Language: English
Published by Springer, Berlin, Springer, 2005
ISBN 10: 3540260730 ISBN 13: 9783540260738
Buch. Condition: Neu. Neuware - Knowledge Discovery today is a significant study and research area. In finding answers to many research questions in this area, the ultimate hope is that knowledge can be extracted from various forms of data around us. This book covers recent advances in unsupervised and supervised data analysis methods in Computational Intelligence for knowledge discovery. In its first part the book provides a collection of recent research on distributed clustering, self organizing maps and their recent extensions. If labeled data or data with known associations are available, we may be able to use supervised data analysis methods, such as classifying neural networks, fuzzy rule-based classifiers, and decision trees. Therefore this book presents a collection of important methods of supervised data analysis. 'Classification and Clustering for Knowledge Discovery' also includes variety of applications of knowledge discovery in health, safety, commerce, mechatronics, sensor networks, and telecommunications.
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Hardcover. Condition: Like New. Like New. book.
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Condition: As New. Unread book in perfect condition.
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Condition: new. Questo è un articolo print on demand.
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Rough Set and Statistical Approach to Knowledge Discovery : Dimension Reduction, Clustering and Classification Techniques
Language: English
Published by VDM Verlag Dr. Müller, 2011
ISBN 10: 3639347668 ISBN 13: 9783639347661
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Large amount of data have been collected routinely in the course of day-to-day work in different fields. Typically, the datasets constantly grow accumulating a large number of features, which are not equally important in decision-making. Rough set theory (RST)recently becomes very popular in dimensionality reduction and feature selection of large datasets. The RST approach to feature selection is used to determine a subset of features (or attributes) called reduct which can predict the decision concepts. In reality, there are multiple reducts in a given information system used for developing classifiers, amongst which the best performer is chosen as the final solution to the problem. Selecting a reduct with good performance is time expensive, as there might be many reducts of a given dataset. Therefore, obtaining a best performer classifier is not practical rather ensemble of different classifiers may lead to better classification accuracy. However, combining large number of classifiers increases complexity of the system. The work trades off between these two approaches and creates an efficient ensemble classifier.
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Classification and Clustering for Knowledge Discovery
Language: English
Published by Springer Berlin Heidelberg Okt 2010, 2010
ISBN 10: 3642065422 ISBN 13: 9783642065422
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Knowledge Discovery today is a significant study and research area. In finding answers to many research questions in this area, the ultimate hope is that knowledge can be extracted from various forms of data around us. This book covers recent advances in unsupervised and supervised data analysis methods in Computational Intelligence for knowledge discovery. In its first part the book provides a collection of recent research on distributed clustering, self organizing maps and their recent extensions. If labeled data or data with known associations are available, we may be able to use supervised data analysis methods, such as classifying neural networks, fuzzy rule-based classifiers, and decision trees. Therefore this book presents a collection of important methods of supervised data analysis. 'Classification and Clustering for Knowledge Discovery' also includes variety of applications of knowledge discovery in health, safety, commerce, mechatronics, sensor networks, and telecommunications. 368 pp. Englisch.
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Classification and Clustering for Knowledge Discovery
Language: English
Published by Springer Berlin Heidelberg, 2010
ISBN 10: 3642065422 ISBN 13: 9783642065422
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Knowledge Discovery today is a significant study and research area. In finding answers to many research questions in this area, the ultimate hope is that knowledge can be extracted from various forms of data around us. This book covers recent advances in.
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Condition: New. Print on Demand pp. 374 Illus.
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Condition: New. Print on Demand pp. 370 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
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Classification and Clustering for Knowledge Discovery
Language: English
Published by Springer, Springer Okt 2010, 2010
ISBN 10: 3642065422 ISBN 13: 9783642065422
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Knowledge Discovery today is a significant study and research area. In finding answers to many research questions in this area, the ultimate hope is that knowledge can be extracted from various forms of data around us. This book covers recent advances in unsupervised and supervised data analysis methods in Computational Intelligence for knowledge discovery. In its first part the book provides a collection of recent research on distributed clustering, self organizing maps and their recent extensions. If labeled data or data with known associations are available, we may be able to use supervised data analysis methods, such as classifying neural networks, fuzzy rule-based classifiers, and decision trees. Therefore this book presents a collection of important methods of supervised data analysis. 'Classification and Clustering for Knowledge Discovery' also includes variety of applications of knowledge discovery in health, safety, commerce, mechatronics, sensor networks, and telecommunications.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 368 pp. Englisch.
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Condition: New. PRINT ON DEMAND pp. 374.
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Condition: New. PRINT ON DEMAND pp. 370.
