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Webkdd 2002 Mining Web (18 results)
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WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles: 4th International Workshop, Edmonton, Canada, July 23, 2002, Revised Papers (Lecture Notes in Computer Science, 2703)
Seller: Book House in Dinkytown, IOBA, Minneapolis, MN, U.S.A.
Association Member: IOBA
Seller rating 5 out of 5 stars
Paperback. Condition: 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.
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US$ 59.16
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Condition: New. pp. 196.
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WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles: 4th International Workshop, Edmonton, Canada, July 23, 2002, Revised Papers (Lecture Notes in Computer Science, 2703)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 68.06
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US$ 66.11
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Webkdd 2002 - Mining Web Data for Discovering Usage Patterns and Profiles : 4th International Workshop Edmonton, Canada, July 23, 2002
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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US$ 68.05
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WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles
Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg Okt 2003, 2003
ISBN 10: 3540203044 ISBN 13: 9783540203049
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
US$ 64.69
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Add to basketTaschenbuch. Condition: 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.
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WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles : 4th International Workshop, Edmonton, Canada, July 23, 2002, Revised Papers
Published by Springer Berlin Heidelberg, 2003
ISBN 10: 3540203044 ISBN 13: 9783540203049
Language: English
US$ 64.69
Convert currencyUS$ 72.26 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. Condition: 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.
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Webkdd 2002 - Mining Web Data for Discovering Usage Patterns and Profiles : 4th International Workshop Edmonton, Canada, July 23, 2002
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 134.38
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US$ 123.31
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WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles : 4th International Workshop, Edmonton, Canada, July 23, 2002, Revised Papers
Published by Springer Berlin Heidelberg, 2003
ISBN 10: 3540203044 ISBN 13: 9783540203049
Language: English
US$ 45.92
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US$ 78.48
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Add to basketCondition: New. Print on Demand pp. 196 Illus.
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WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles
Published by Springer Berlin Heidelberg Okt 2003, 2003
ISBN 10: 3540203044 ISBN 13: 9783540203049
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
US$ 64.69
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Add to basketTaschenbuch. Condition: 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.
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US$ 86.36
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Add to basketCondition: New. PRINT ON DEMAND pp. 196.
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WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles
Published by Springer Berlin Heidelberg, 2003
ISBN 10: 3540203044 ISBN 13: 9783540203049
Language: English
US$ 58.51
Convert currencyUS$ 57.53 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketKartoniert / Broschiert. Condition: 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.
