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)
ISBN 10: 3540203044 ISBN 13: 9783540203049
Published by Springer, 2003
New
Soft cover
From
Best Price, Torrance, CA, U.S.A.
Seller rating 5 out of 5 stars
AbeBooks Seller since August 30, 2024
This specific item is no longer available.
About this Item
Description:
SUPER FAST SHIPPING. Seller Inventory # 9783540203049
Synopsis:
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.
"About this title" may belong to another edition of this title.
Bibliographic Details
Title: WEBKDD 2002 - Mining Web Data for ...
Publisher: Springer
Publication Date: 2003
Binding: Soft cover
Condition: New
Top Search Results from the AbeBooks Marketplace
Seller Image
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.
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. Seller Inventory # 284219
Stock Image
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
Used
Softcover
Seller: Buchpark, Trebbin, Germany
Seller rating 5 out of 5 stars
Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher. Seller Inventory # 1457126/202
Seller Image
WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles
Published by
Springer Berlin Heidelberg, 2003
ISBN 10: 3540203044
ISBN 13: 9783540203049
New
Kartoniert / Broschiert
Seller: moluna, Greven, Germany
Seller rating 4 out of 5 stars
Kartoniert / 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. Seller Inventory # 4884574
Buy New
US$ 57.90
Shipping:
US$ 56.94
From Germany to U.S.A.
Quantity: Over 20 available
Stock Image
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: Lucky's Textbooks, Dallas, TX, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # ABLIING23Mar3113020162473
WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles | 4th International Workshop, Edmonton, Canada, July 23, 2002, Revised Papers
Seller: preigu, Osnabrück, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 102482593
Seller Image
Webkdd 2002 - Mining Web Data for Discovering Usage Patterns and Profiles : 4th International Workshop Edmonton, Canada, July 23, 2002
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # 2180790-n
Seller Image
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
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. 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. Seller Inventory # 9783540203049
Seller Image
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
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. 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. Seller Inventory # 9783540203049
Seller Image
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
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. 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. Seller Inventory # 9783540203049
Stock Image
WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles : 4th International Workshop, Edmonton, Canada, July 23, 2002, Revised Paper
Seller: Chiron Media, Wallingford, United Kingdom
Seller rating 4 out of 5 stars
PF. Condition: New. Seller Inventory # 6666-IUK-9783540203049
Buy New
US$ 64.69
Shipping:
US$ 20.39
From United Kingdom to U.S.A.
Quantity: 10 available