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Ensemble Methods in Data Mining: Improving Accuracy Through Combining Predictions (Synthesis Lectures on Data Mining and Knowledge Discovery)
Language: English
Published by Morgan and Claypool Publishers, 2010
ISBN 10: 1608452840 ISBN 13: 9781608452842
Paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Hardcover. Condition: Good. 2. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.
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Condition: Good. [ No Hassle 30 Day Returns ][ Ships Daily ] [ Underlining/Highlighting: NONE ] [ Writing: NONE ] [ Edition: second ] Publisher: Wiley Pub Date: 6/30/2014 Binding: Hardcover Pages: 336 second edition.
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Data Mining Methods for Knowledge Discovery
First Edition
Condition: Good. 1st. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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Data Mining Methods for Knowledge Discovery
First Edition
Condition: Good. 1st. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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Hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Computational Methods of Feature Selection (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Book 2 of 54: Chapman & Hall/CRC Data Mining and Knowledge DiscoveryLanguage: English
Published by Chapman and Hall/CRC, 2007
ISBN 10: 1584888784 ISBN 13: 9781584888789
hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Mathematical Methods for Knowledge Discovery and Data Mining
Language: English
Published by IGI Global Scientific Publishing, 2007
ISBN 10: 1599045281 ISBN 13: 9781599045283
First Edition
Condition: Good. 1st Edition. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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Mathematical Methods for Knowledge Discovery and Data Mining (Premier Reference Source)
Language: English
Published by Idea Group Reference, 2007
ISBN 10: 1599045281 ISBN 13: 9781599045283
Seller: Zubal-Books, Since 1961, Cleveland, OH, U.S.A.
Seller rating 5 out of 5 stars
Condition: Fine. 371 pp., Hardcover, one corner rubbed, 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.
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hardcover. Condition: Good. name in marker on side of pages. Hardcover book no dustjacket. Moderate wear to cover and pages.
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Mathematical Methods for Knowledge Discovery and Data Mining
Language: English
Published by IGI Global Scientific Publishing, 2007
ISBN 10: 1599045281 ISBN 13: 9781599045283
Seller: Better World Books Ltd, Dunfermline, United Kingdom
Seller rating 5 out of 5 stars
First Edition
Condition: Very Good. 1st Edition. 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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Hardcover. Condition: Fair. Beschriftungen / Markierungen; Leichte Abnutzungen. Data Mining Methods for Knowledge Discovery provides an introduction to the data mining methods that are frequently used in the process of knowledge discovery. This book first elaborates on the fundamentals of each of the data mining rough sets, Bayesian analysis, fuzzy sets, genetic algorithms, machine learning, neural networks, and preprocessing techniques. The book then goes on to thoroughly discuss these methods in the setting of the overall process of knowledge discovery. Numerous illustrative examples and experimental findings are also included. Each chapter comes with an extensive bibliography.Data Mining Methods for Knowledge Discovery is intended for senior undergraduate and graduate students, as well as a broad audience of professionals in computer and information sciences, medical informatics, and business information systems.
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Discovering Knowledge in Data: An Introduction to Data Mining (Wiley Series on Methods and Applications in Data Mining)
Seller: Phatpocket Limited, Waltham Abbey, HERTS, United Kingdom
Seller rating 5 out of 5 stars
US$ 30.40
US$ 14.71 shipping
Ships from United Kingdom to U.S.A.Quantity: 1 available
Add to basketCondition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
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Machine Learning and Data Mining for Computer Security: Methods and Applications. (=Advanced Information and Knowledge Processing).
Language: English
Published by Springer, 2012
Seller: Antiquariat Thomas Haker GmbH & Co. KG, Berlin, Germany
Association Member: GIAQ
Seller rating 5 out of 5 stars
Paperback. Condition: Wie neu. 228 S. Like new. Shrink wrapped. Sprache: Englisch Gewicht in Gramm: 465.
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hardcover. Condition: Good. 2nd Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
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US$ 38.00
US$ 18.52 shipping
Ships from United Kingdom to U.S.A.Quantity: 1 available
Add to basketCondition: Poor. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Book contains highlighter markings. In poor condition, suitable as a reading copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,950grams, ISBN:9780792382522.
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US$ 41.49
US$ 18.52 shipping
Ships from United Kingdom to U.S.A.Quantity: 1 available
Add to basketCondition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Clean from markings. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,900grams, ISBN:9780792382522.
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hardcover. Condition: New. In shrink wrap. Looks like an interesting title!
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Discovering Knowledge in Data: An Introduction to Data Mining (Wiley Series on Methods and Applications in Data Mining)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 103.72
US$ 16.56 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Brand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
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Computational Methods of Feature Selection (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Book 2 of 54: Chapman & Hall/CRC Data Mining and Knowledge DiscoveryLanguage: English
Published by Chapman and Hall/CRC, 2007
ISBN 10: 1584888784 ISBN 13: 9781584888789
Hardcover. Condition: New. In shrink wrap. Looks like an interesting title!
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Data Mining and Knowledge Discovery via Logic-Based Methods: Theory, Algorithms, and Applications (Springer Optimization and Its Applications, 43)
Book 31 of 176: Springer Optimization and Its ApplicationsSeller: Phatpocket Limited, Waltham Abbey, HERTS, United Kingdom
Seller rating 5 out of 5 stars
US$ 154.54
US$ 14.71 shipping
Ships from United Kingdom to U.S.A.Quantity: 1 available
Add to basketCondition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
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US$ 159.47
US$ 34.56 shipping
Ships from United Kingdom to U.S.A.Quantity: 1 available
Add to basketHardcover. Condition: Like New. Like New. book.
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Data Mining and Knowledge Discovery via Logic-Based Methods (Paperback)
Book 31 of 176: Springer Optimization and Its ApplicationsLanguage: English
Published by Springer-Verlag New York Inc., New York, NY, 2012
ISBN 10: 1461426138 ISBN 13: 9781461426134
Paperback. Condition: new. Paperback. The importance of having ef cient and effective methods for data mining and kn- ledge discovery (DM&KD), to which the present book is devoted, grows every day and numerous such methods have been developed in recent decades. There exists a great variety of different settings for the main problem studied by data mining and knowledge discovery, and it seems that a very popular one is formulated in terms of binary attributes. In this setting, states of nature of the application area under consideration are described by Boolean vectors de ned on some attributes. That is, by data points de ned in the Boolean space of the attributes. It is postulated that there exists a partition of this space into two classes, which should be inferred as patterns on the attributes when only several data points are known, the so-called positive and negative training examples. The main problem in DM&KD is de ned as nding rules for recognizing (cl- sifying) new data points of unknown class, i. e. , deciding which of them are positive and which are negative. In other words, to infer the binary value of one more attribute, called the goal or class attribute. To solve this problem, some methods have been suggested which construct a Boolean function separating the two given sets of positive and negative training data points. The importance of having ef cient and effective methods for data mining and kn- ledge discovery (DM&KD), to which the present book is devoted, grows every day and numerous such methods have been developed in recent decades. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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