WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles (Record no. 33978)

000 -LEADER
fixed length control field 04570nam a22006255i 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783540396635
-- 978-3-540-39663-5
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
245 10 - TITLE STATEMENT
Title WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles
Sub Title 4th International Workshop, Edmonton, Canada, July 23, 2002. Revised Papers /
Statement of responsibility, etc edited by Osmar R. Zaïane, Jaideep Srivastava, Myra Spiliopoulou, Brij Masand.
260 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Berlin, Heidelberg :
Name of publisher Springer Berlin Heidelberg,
Year of publication 2003.
300 ## - PHYSICAL DESCRIPTION
Number of Pages IX, 183 p.
Other physical details online resource.
490 1# - SERIES STATEMENT
Series statement Lecture Notes in Computer Science,
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note LumberJack: Intelligent Discovery and Analysis of Web User Traffic Composition -- Mining eBay: Bidding Strategies and Shill Detection -- Automatic Categorization of Web Pages and User Clustering with Mixtures of Hidden Markov Models -- Web Usage Mining by Means of Multidimensional Sequence Alignment Methods -- A Customizable Behavior Model for Temporal Prediction of Web User Sequences -- Coping with Sparsity in a Recommender System -- On the Use of Constrained Associations for Web Log Mining -- Mining WWW Access Sequence by Matrix Clustering -- Comparing Two Recommender Algorithms with the Help of Recommendations by Peers -- The Impact of Site Structure and User Environment on Session Reconstruction in Web Usage Analysis.
520 ## - SUMMARY, ETC.
Summary, etc 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.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Computer science.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Computer Communication Networks.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Database management.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Information storage and retrieval systems.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Information systems.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Artificial intelligence.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Computer Science.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Artificial Intelligence (incl. Robotics).
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Computer Communication Networks.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Database Management.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Information Storage and Retrieval.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Information Systems Applications (incl.Internet).
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Computers and Society.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Zaïane, Osmar R.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Srivastava, Jaideep.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Spiliopoulou, Myra.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Masand, Brij.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/b11784
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type E-BOOKS
264 #1 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg,
-- 2003.
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-- online resource
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830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 0302-9743 ;
Holdings
Withdrawn status Lost status Damaged status Not for loan Current library Accession Number Uniform Resource Identifier Koha item type
        IMSc Library EBK4684 http://dx.doi.org/10.1007/b11784 E-BOOKS
The Institute of Mathematical Sciences, Chennai, India

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