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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
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Bester Preis: € 42,79 (vom 24.01.2024)WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles: 4th International Workshop, Edmonton, Canada, July 23, 2002, Revised Papers . Lecture Notes in Artificial Intelligence) (2002)
ISBN: 9783540203049 bzw. 3540203044, in Deutsch, Springer, Berlin/Heidelberg, Deutschland, Taschenbuch, neu.
This item is printed on demand. Paperback. This book constitutes the thoroughly refereed post-proceedings of the 4th International Workshop on Mining Web Data, WEBKDD 2002, held in Edmonton, Canada, in July 2002. The 10 revised full papers presented together with a detailed preface went through two rounds of reviewing and improvement and were selected from 23 submissions. The papers are organized in topical sections on categorization of users and usage, prediction and recommendation, and evaluation of algorithms. This item ships from La Vergne,TN.
WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles (2002)
ISBN: 9783540203049 bzw. 3540203044, vermutlich in Englisch, Springer Nature, Taschenbuch, neu.
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. Soft cover.
WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles (2002)
ISBN: 9783540396635 bzw. 3540396632, vermutlich in Englisch, Springer Nature, neu, E-Book, elektronischer Download.
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. eBook.
Webkdd 2002 - Mining Web Data for Discovering Usage Patterns Profiles: 4th International Workshop, Edmonton, Canada, July 23, 2002, Revised Papers (2014)
ISBN: 9783540203049 bzw. 3540203044, in Deutsch, SPRINGER VERLAG GMBH 01/07/2014, Taschenbuch, neu.
New Book. This item is printed on demand. Shipped from US This item is printed on demand.
WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles. 4th International Workshop, Edmonton, Canada, July 23, 2002, Revised Papers (2003)
ISBN: 9783540203049 bzw. 3540203044, in Deutsch, Springer, Taschenbuch, neu.
9783540203049 Paperback, This listing is a new book, a title currently in-print which we order directly and immediately from the publisher.
WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles: 4th International Workshop, Edmonton, Canada, July 23, 2002, Revised Papers . / Lecture Notes in Artificial Intelligence) (2003)
ISBN: 9783540203049 bzw. 3540203044, in Deutsch, Springer, gebraucht, Erstausgabe.
Von Händler/Antiquariat, Better World Books [51315977], Mishawaka, IN, U.S.A.
Great condition for a used book! Minimal wear.
WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles: 4th International Workshop, Edmonton, Canada, July 23, 2002, Revised Papers . / Lecture Notes in Artificial Intelligence) (2002)
ISBN: 9783540203049 bzw. 3540203044, in Deutsch, Springer, Taschenbuch, neu.
This item is printed on demand.
WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles (2002)
ISBN: 9783540396635 bzw. 3540396632, in Deutsch, Springer Nature, neu, E-Book.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles : 4th International Workshop, Edmonton, Canada, July 23, 2002, Revised Papers (2002)
ISBN: 9783540396635 bzw. 3540396632, in Englisch, Springer Berlin Heidelberg, neu, E-Book, elektronischer Download.