Da: Book House in Dinkytown, IOBA, Minneapolis, MN, U.S.A.
Membro dell'associazione: IOBA
Paperback. Condizione: Very Good. Springer, 2003; First Paperback Printing with full number line; vii, 179pp. Spine is uncreased, binding tight and sturdy; text, illustrations also very good; minor wear to edges of wraps. Ships from Dinkytown in Minneapolis, Minnesota.
Editore: Springer, 2003
Da: Plum Books, St. Paul, MN, U.S.A.
Condizione: Very Good. No Jacket. Paperback,NO highlighting or notes, has normal slight wear to edges and corners; otherwise, a tight, clean copy. INV#H-19.
Condizione: New.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 57,65
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Da: Chiron Media, Wallingford, Regno Unito
EUR 56,00
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Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. 196.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 57,64
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Editore: Springer Berlin Heidelberg, Springer Berlin Heidelberg Okt 2003, 2003
ISBN 10: 3540203044 ISBN 13: 9783540203049
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 53,49
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -1 WorkshopTheme Data mining as a discipline aims to relate the analysis of large amounts of user data to shed light on key business questions. Web usage mining in particular, a relatively young discipline, investigates methodologies and techniques that - dress the unique challenges of discovering insights from Web usage data, aiming toevaluateWebusability,understandtheinterestsandexpectationsofusersand assess the e ectiveness of content delivery. The maturing and expanding Web presents a key driving force in the rapid growth of electronic commerce and a new channel for content providers. Customized o ers and content, made possible by discovered knowledge about the customer, are fundamental for the establi- ment of viable e-commerce solutions and sustained and e ective content delivery in noncommercial domains. Rich Web logs provide companies with data about their online visitors and prospective customers, allowing microsegmentation and personalized interactions. While Web mining as a domain is several years old, the challenges that characterize data analysis in this area continue to be formidable. Though p- processing data routinely takes up a major part of the e ort in data mining, Web usage data presents further challenges based on the di culties of assigning data streams to unique users and tracking them over time. New innovations are required to reliably reconstruct sessions, to ascertain similarity and di erences between sessions, and to be able to segment online users into relevant groups.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 196 pp. Englisch.
Editore: Springer Berlin Heidelberg, 2003
ISBN 10: 3540203044 ISBN 13: 9783540203049
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 53,49
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 1 WorkshopTheme Data mining as a discipline aims to relate the analysis of large amounts of user data to shed light on key business questions. Web usage mining in particular, a relatively young discipline, investigates methodologies and techniques that - dress the unique challenges of discovering insights from Web usage data, aiming toevaluateWebusability,understandtheinterestsandexpectationsofusersand assess the e ectiveness of content delivery. The maturing and expanding Web presents a key driving force in the rapid growth of electronic commerce and a new channel for content providers. Customized o ers and content, made possible by discovered knowledge about the customer, are fundamental for the establi- ment of viable e-commerce solutions and sustained and e ective content delivery in noncommercial domains. Rich Web logs provide companies with data about their online visitors and prospective customers, allowing microsegmentation and personalized interactions. While Web mining as a domain is several years old, the challenges that characterize data analysis in this area continue to be formidable. Though p- processing data routinely takes up a major part of the e ort in data mining, Web usage data presents further challenges based on the di culties of assigning data streams to unique users and tracking them over time. New innovations are required to reliably reconstruct sessions, to ascertain similarity and di erences between sessions, and to be able to segment online users into relevant groups.
Da: preigu, Osnabrück, Germania
EUR 50,35
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles | 4th International Workshop, Edmonton, Canada, July 23, 2002, Revised Papers | Osmar R. Zaiane (u. a.) | Taschenbuch | ix | Englisch | 2003 | Springer Berlin | EAN 9783540203049 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 113,82
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Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 104,44
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 134,73
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Editore: Springer Berlin Heidelberg, 2003
ISBN 10: 3540203044 ISBN 13: 9783540203049
Lingua: Inglese
Da: Buchpark, Trebbin, Germania
EUR 42,18
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Aggiungi al carrelloCondizione: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.
Editore: Springer Berlin Heidelberg Okt 2003, 2003
ISBN 10: 3540203044 ISBN 13: 9783540203049
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 53,49
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -1 WorkshopTheme Data mining as a discipline aims to relate the analysis of large amounts of user data to shed light on key business questions. Web usage mining in particular, a relatively young discipline, investigates methodologies and techniques that - dress the unique challenges of discovering insights from Web usage data, aiming toevaluateWebusability,understandtheinterestsandexpectationsofusersand assess the e ectiveness of content delivery. The maturing and expanding Web presents a key driving force in the rapid growth of electronic commerce and a new channel for content providers. Customized o ers and content, made possible by discovered knowledge about the customer, are fundamental for the establi- ment of viable e-commerce solutions and sustained and e ective content delivery in noncommercial domains. Rich Web logs provide companies with data about their online visitors and prospective customers, allowing microsegmentation and personalized interactions. While Web mining as a domain is several years old, the challenges that characterize data analysis in this area continue to be formidable. Though p- processing data routinely takes up a major part of the e ort in data mining, Web usage data presents further challenges based on the di culties of assigning data streams to unique users and tracking them over time. New innovations are required to reliably reconstruct sessions, to ascertain similarity and di erences between sessions, and to be able to segment online users into relevant groups. 196 pp. Englisch.
Da: Majestic Books, Hounslow, Regno Unito
EUR 74,28
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Aggiungi al carrelloCondizione: New. Print on Demand pp. 196 Illus.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 75,52
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 196.
Editore: Springer Berlin Heidelberg, 2003
ISBN 10: 3540203044 ISBN 13: 9783540203049
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 48,37
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Aggiungi al carrelloKartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 1 WorkshopTheme Data mining as a discipline aims to relate the analysis of large amounts of user data to shed light on key business questions. Web usage mining in particular, a relatively young discipline, investigates methodologies and techniques that - dr.