Publicado por Springer Berlin Heidelberg, 2003
ISBN 10: 3540203044 ISBN 13: 9783540203049
Idioma: Inglés
Librería: Buchpark, Trebbin, Alemania
EUR 42,18
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Añadir al carritoCondición: Sehr gut. Zustand: Sehr gut | Seiten: 196 | Sprache: Englisch | Produktart: Bücher.
Publicado por Springer, 2003
Librería: Plum Books, St. Paul, MN, Estados Unidos de America
EUR 22,04
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Añadir al carritoCondición: 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.
Librería: Book House in Dinkytown, IOBA, Minneapolis, MN, Estados Unidos de America
Miembro de asociación: IOBA
EUR 35,41
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Añadir al carritoPaperback. Condición: 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.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 60,33
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Publicado por Springer Berlin Heidelberg, 2003
ISBN 10: 3540203044 ISBN 13: 9783540203049
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 53,49
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Añadir al carritoTaschenbuch. Condición: 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.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 53,56
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 60,31
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Añadir al carritoCondición: New.
Librería: Chiron Media, Wallingford, Reino Unido
EUR 64,29
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Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 75,14
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Añadir al carritoCondición: New. pp. 196.
Publicado por Springer Berlin Heidelberg, Springer Berlin Heidelberg Okt 2003, 2003
ISBN 10: 3540203044 ISBN 13: 9783540203049
Idioma: Inglés
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 53,49
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Añadir al carritoTaschenbuch. Condición: 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.
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 52,37
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 122,26
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 112,78
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Añadir al carritoPaperback. Condición: Like New. Like New. book.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 143,31
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Publicado por Springer Berlin Heidelberg Okt 2003, 2003
ISBN 10: 3540203044 ISBN 13: 9783540203049
Idioma: Inglés
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 53,49
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Añadir al carritoTaschenbuch. Condición: 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.
Publicado por Springer Berlin Heidelberg, 2003
ISBN 10: 3540203044 ISBN 13: 9783540203049
Idioma: Inglés
Librería: moluna, Greven, Alemania
EUR 48,37
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Añadir al carritoKartoniert / Broschiert. Condición: 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.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 77,73
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Añadir al carritoCondición: New. Print on Demand pp. 196 Illus.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 80,16
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Añadir al carritoCondición: New. PRINT ON DEMAND pp. 196.