Lingua: Inglese
Editore: Wiley & Sons, Incorporated, John, 2007
ISBN 10: 0471666556 ISBN 13: 9780471666554
Da: Better World Books, Mishawaka, IN, U.S.A.
Condizione: Good. 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.
Da: HPB-Red, Dallas, TX, U.S.A.
hardcover. Condizione: 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!
Hardcover. Condizione: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Da: Your Online Bookstore, Houston, TX, U.S.A.
hardcover. Condizione: New.
Da: SHIMEDIA, Brooklyn, NY, U.S.A.
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EUR 101,07
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 107,83
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Da: Brook Bookstore On Demand, Napoli, NA, Italia
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 101,05
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 106,27
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 109,53
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EUR 130,18
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Aggiungi al carrelloCondizione: New. pp. 218.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 117,30
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Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days.
Condizione: New. pp. 218.
EUR 135,40
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Aggiungi al carrelloCondizione: New. This book introduces the reader to methods of data mining on the web, including uncovering patterns in web content (classification, clustering, language processing), structure (graphs, hubs, metrics), and usage (modeling, sequence analysis, performance). . Num Pages: 218 pages, Illustrations. BIC Classification: PB; PS; UF. Category: (P) Professional & Vocational. Dimension: 241 x 164 x 20. Weight in Grams: 502. . 2007. 1st Edition. Hardcover. . . . .
Da: Revaluation Books, Exeter, Regno Unito
EUR 150,63
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 218 pages. 9.50x6.25x0.75 inches. In Stock.
EUR 118,57
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Aggiungi al carrelloCondizione: New. Zdravko Markov, PhD, is Associate Professor of Computer Science at Central Connecticut State University. The author of three textbooks, Dr. Markov teaches undergraduate and graduate courses in computer science and artificial intelligence. He is currently a .
EUR 169,52
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Aggiungi al carrelloCondizione: New. This book introduces the reader to methods of data mining on the web, including uncovering patterns in web content (classification, clustering, language processing), structure (graphs, hubs, metrics), and usage (modeling, sequence analysis, performance). . Num Pages: 218 pages, Illustrations. BIC Classification: PB; PS; UF. Category: (P) Professional & Vocational. Dimension: 241 x 164 x 20. Weight in Grams: 502. . 2007. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.
EUR 146,44
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Aggiungi al carrelloBuch. Condizione: Neu. Neuware - Learn How To Convert Web Data Into Web KnowledgeThis text demonstrates how to extract knowledge by finding meaningful connections among data spread throughout the Web. Readers learn methods and algorithms from the fields of information retrieval, machine learning, and data mining which, when combined, provide a solid framework for mining the Web. The authors walk readers through the algorithms with the aid of examples and exercises.This text is divided into three parts:\*Part One, Web Structure, presents basic concepts and techniques for extracting information from the Web. Readers learn how to collect and index Web documents as well as search and rank Web pages according to their textual content and hyperlink structure.\*Part Two, Web Content Management, offers two approaches, clustering and classification, for organizing Web content. For both approaches, the authors set forth specific algorithms that enable readers to convert Web data into knowledge.\*Part Three, Web Usage Mining, demonstrates the application of data mining methods to uncover meaningful patterns of Internet usage.Methods and algorithms are illustrated by simple examples. More than 100 exercises help readers assess their grasp of the material. Further, thirty-four hands-on analysis problems ask readers to use their new data mining expertise to solve real problems, working with large data sets. All the data sets needed for the examples, exercises, and analysis problems are available on the companion Web site.The extensive use of examples, along with the opportunity to test and apply data mining skills, makes this text ideal for graduate and upper-level undergraduates in computer science and engineering. Web designers and researchers will find that this text gives them a new set of tools to further mine the Web for knowledge and move well beyond the capabilities of standard search engines.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 186,50
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Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 125,40
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Aggiungi al carrelloHardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 540.
Da: Revaluation Books, Exeter, Regno Unito
EUR 138,52
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Aggiungi al carrelloHardcover. Condizione: Brand New. 218 pages. 9.50x6.25x0.75 inches. In Stock. This item is printed on demand.
Lingua: Inglese
Editore: John Wiley & Sons Inc, New York, 2007
ISBN 10: 0471666556 ISBN 13: 9780471666554
Da: CitiRetail, Stevenage, Regno Unito
Prima edizione Print on Demand
EUR 115,07
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: new. Hardcover. This book introduces the reader to methods of data mining on the web, including uncovering patterns in web content (classification, clustering, language processing), structure (graphs, hubs, metrics), and usage (modeling, sequence analysis, performance). This book introduces the reader to methods of data mining on the web, including uncovering patterns in web content (classification, clustering, language processing), structure (graphs, hubs, metrics), and usage (modeling, sequence analysis, performance). This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.