Items related to Data Mining and Knowledge Discovery with Evolutionary...

Data Mining and Knowledge Discovery with Evolutionary Algorithms (Natural Computing Series) - Hardcover

 
9783540433316: Data Mining and Knowledge Discovery with Evolutionary Algorithms (Natural Computing Series)

Synopsis

This book addresses the integration of two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increas­ ingly popular in the last few years, and their integration is currently an area of active research. In essence, data mining consists of extracting valid, comprehensible, and in­ teresting knowledge from data. Data mining is actually an interdisciplinary field, since there are many kinds of methods that can be used to extract knowledge from data. Arguably, data mining mainly uses methods from machine learning (a branch of artificial intelligence) and statistics (including statistical pattern recog­ nition). Our discussion of data mining and evolutionary algorithms is primarily based on machine learning concepts and principles. In particular, in this book we emphasize the importance of discovering comprehensible, interesting knowledge, which the user can potentially use to make intelligent decisions. In a nutshell, the motivation for applying evolutionary algorithms to data mining is that evolutionary algorithms are robust search methods which perform a global search in the space of candidate solutions (rules or another form of knowl­ edge representation). In contrast, most rule induction methods perform a local, greedy search in the space of candidate rules. Intuitively, the global search of evolutionary algorithms can discover interesting rules and patterns that would be missed by the greedy search.

"synopsis" may belong to another edition of this title.

From the Back Cover

This book integrates two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increasingly popular in the last few years, and their integration is currently an area of active research. In general, data mining consists of extracting knowledge from data. In this book we particularly emphasize the importance of discovering comprehensible and interesting knowledge, which is potentially useful to the reader for intelligent decision making. In a nutshell, the motivation for applying evolutionary algorithms to data mining is that evolutionary algorithms are robust search methods which perform a global search in the space of candidate solutions (rules or another form of knowledge representation). In contrast, most rule induction methods perform a local, greedy search in the space of candidate rules. Intuitively, the global search of evolutionary algorithms can discover interesting rules and patterns that would be missed by the greedy search.
This book presents a comprehensive review of basic concepts on both data mining and evolutionary algorithms and discusses significant advances in the integration of these two areas. It is self-contained, explaining both basic concepts and advanced topics.

"About this title" may belong to another edition of this title.

  • PublisherSpringer
  • Publication date2002
  • ISBN 10 3540433317
  • ISBN 13 9783540433316
  • BindingHardcover
  • LanguageEnglish
  • Number of pages279

Buy Used

Condition: Very Good
May have limited writing in cover...
View this item

£ 8.06 shipping from U.S.A. to United Kingdom

Destination, rates & speeds

Other Popular Editions of the Same Title

9783642077630: Data Mining and Knowledge Discovery with Evolutionary Algorithms (Natural Computing Series)

Featured Edition

ISBN 10:  3642077633 ISBN 13:  9783642077630
Publisher: Springer, 2012
Softcover

Search results for Data Mining and Knowledge Discovery with Evolutionary...

Stock Image

Freitas, Alex A.
Published by Springer, 2002
ISBN 10: 3540433317 ISBN 13: 9783540433316
Used Hardcover

Seller: ThriftBooks-Atlanta, AUSTELL, GA, U.S.A.

Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

Hardcover. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 1.2. Seller Inventory # G3540433317I4N00

Contact seller

Buy Used

£ 15.59
Convert currency
Shipping: £ 8.06
From U.S.A. to United Kingdom
Destination, rates & speeds

Quantity: 1 available

Add to basket

Stock Image

Freitas, Alex A.
Published by Springer, New York, 2002
ISBN 10: 3540433317 ISBN 13: 9783540433316
Used Hardcover

Seller: Row By Row Bookshop, Sugar Grove, NC, U.S.A.

Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

Hardcover. Condition: Good. Dust Jacket Condition: No Dust Jacket. First U.S. Edition. An ex-library copy in pictorial green hard covers. The usual ex-libris markings, clean within. The binding is sound, and there is little wear to the covers. No dust jacket, apparently as issued. Book. Seller Inventory # 045792

Contact seller

Buy Used

£ 15.20
Convert currency
Shipping: £ 22.14
From U.S.A. to United Kingdom
Destination, rates & speeds

Quantity: 1 available

Add to basket

Stock Image

Freitas, Alex A.
Published by Springer, 2002
ISBN 10: 3540433317 ISBN 13: 9783540433316
Used Hardcover

Seller: SecondSale, Montgomery, IL, U.S.A.

Seller rating 4 out of 5 stars 4-star rating, Learn more about seller ratings

Condition: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc. Seller Inventory # 00069379319

Contact seller

Buy Used

£ 15.55
Convert currency
Shipping: £ 25.83
From U.S.A. to United Kingdom
Destination, rates & speeds

Quantity: 1 available

Add to basket

Stock Image

Freitas, Alex A.
Published by Springer, 2002
ISBN 10: 3540433317 ISBN 13: 9783540433316
Used Hardcover

Seller: HPB-Red, Dallas, TX, U.S.A.

Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

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! Seller Inventory # S_378345438

Contact seller

Buy Used

£ 12.57
Convert currency
Shipping: £ 84.86
From U.S.A. to United Kingdom
Destination, rates & speeds

Quantity: 1 available

Add to basket

Stock Image

Freitas, Alex A.
Published by Springer, 2002
ISBN 10: 3540433317 ISBN 13: 9783540433316
New Hardcover

Seller: Ria Christie Collections, Uxbridge, United Kingdom

Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

Condition: New. In. Seller Inventory # ria9783540433316_new

Contact seller

Buy New

£ 97.62
Convert currency
Shipping: FREE
Within United Kingdom
Destination, rates & speeds

Quantity: Over 20 available

Add to basket

Seller Image

Alex A. Freitas
Published by Springer Berlin Heidelberg, 2002
ISBN 10: 3540433317 ISBN 13: 9783540433316
New Hardcover
Print on Demand

Seller: moluna, Greven, Germany

Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book integrates two areas of computer science, namely data mining and evolutionary algorithms (EAs). In essence, data mining consists of extracting interesting knowledge from data. The book presents a comprehensive review of both data mining and EAs an. Seller Inventory # 4890387

Contact seller

Buy New

£ 80.10
Convert currency
Shipping: £ 21.06
From Germany to United Kingdom
Destination, rates & speeds

Quantity: Over 20 available

Add to basket

Seller Image

Alex A. Freitas
ISBN 10: 3540433317 ISBN 13: 9783540433316
New Hardcover
Print on Demand

Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany

Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book integrates two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increasingly popular in the last few years, and their integration is currently an active research area. In general, data mining consists of extracting knowledge from data. The motivation for applying evolutionary algorithms to data mining is that evolutionary algorithms are robust search methods which perform a global search in the space of candidate solutions. This book emphasizes the importance of discovering comprehensible, interesting knowledge, which is potentially useful for intelligent decision making. The text explains both basic concepts and advanced topics 280 pp. Englisch. Seller Inventory # 9783540433316

Contact seller

Buy New

£ 92.88
Convert currency
Shipping: £ 9.27
From Germany to United Kingdom
Destination, rates & speeds

Quantity: 2 available

Add to basket

Seller Image

Alex A. Freitas
Published by Springer Berlin Heidelberg, 2002
ISBN 10: 3540433317 ISBN 13: 9783540433316
New Hardcover

Seller: AHA-BUCH GmbH, Einbeck, Germany

Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book addresses the integration of two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increas ingly popular in the last few years, and their integration is currently an area of active research. In essence, data mining consists of extracting valid, comprehensible, and in teresting knowledge from data. Data mining is actually an interdisciplinary field, since there are many kinds of methods that can be used to extract knowledge from data. Arguably, data mining mainly uses methods from machine learning (a branch of artificial intelligence) and statistics (including statistical pattern recog nition). Our discussion of data mining and evolutionary algorithms is primarily based on machine learning concepts and principles. In particular, in this book we emphasize the importance of discovering comprehensible, interesting knowledge, which the user can potentially use to make intelligent decisions. In a nutshell, the motivation for applying evolutionary algorithms to data mining is that evolutionary algorithms are robust search methods which perform a global search in the space of candidate solutions (rules or another form of knowl edge representation). In contrast, most rule induction methods perform a local, greedy search in the space of candidate rules. Intuitively, the global search of evolutionary algorithms can discover interesting rules and patterns that would be missed by the greedy search. Seller Inventory # 9783540433316

Contact seller

Buy New

£ 92.88
Convert currency
Shipping: £ 11.79
From Germany to United Kingdom
Destination, rates & speeds

Quantity: 1 available

Add to basket

Stock Image

Freitas, Alex A.
Published by Springer, 2002
ISBN 10: 3540433317 ISBN 13: 9783540433316
New Hardcover

Seller: California Books, Miami, FL, U.S.A.

Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

Condition: New. Seller Inventory # I-9783540433316

Contact seller

Buy New

£ 109.45
Convert currency
Shipping: £ 7.38
From U.S.A. to United Kingdom
Destination, rates & speeds

Quantity: Over 20 available

Add to basket

Seller Image

Alex A. Freitas
ISBN 10: 3540433317 ISBN 13: 9783540433316
New Hardcover

Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany

Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

Buch. Condition: Neu. Neuware -This book addresses the integration of two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increas ingly popular in the last few years, and their integration is currently an area of active research. In essence, data mining consists of extracting valid, comprehensible, and in teresting knowledge from data. Data mining is actually an interdisciplinary field, since there are many kinds of methods that can be used to extract knowledge from data. Arguably, data mining mainly uses methods from machine learning (a branch of artificial intelligence) and statistics (including statistical pattern recog nition). Our discussion of data mining and evolutionary algorithms is primarily based on machine learning concepts and principles. In particular, in this book we emphasize the importance of discovering comprehensible, interesting knowledge, which the user can potentially use to make intelligent decisions. In a nutshell, the motivation for applying evolutionary algorithms to data mining is that evolutionary algorithms are robust search methods which perform a global search in the space of candidate solutions (rules or another form of knowl edge representation). In contrast, most rule induction methods perform a local, greedy search in the space of candidate rules. Intuitively, the global search of evolutionary algorithms can discover interesting rules and patterns that would be missed by the greedy search.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 280 pp. Englisch. Seller Inventory # 9783540433316

Contact seller

Buy New

£ 92.88
Convert currency
Shipping: £ 29.50
From Germany to United Kingdom
Destination, rates & speeds

Quantity: 2 available

Add to basket

There are 5 more copies of this book

View all search results for this book