Coverart for item
The Resource WEBKDD 2001 — Mining Web Log Data Across All Customers Touch Points : Third International Workshop San Francisco, CA, USA, August 26, 2001 Revised Papers, edited by Ron Kohavi, Brij M. Masand, Myra Spiliopoulou, Jaideep Srivastava, (electronic resource)

WEBKDD 2001 — Mining Web Log Data Across All Customers Touch Points : Third International Workshop San Francisco, CA, USA, August 26, 2001 Revised Papers, edited by Ron Kohavi, Brij M. Masand, Myra Spiliopoulou, Jaideep Srivastava, (electronic resource)

Label
WEBKDD 2001 — Mining Web Log Data Across All Customers Touch Points : Third International Workshop San Francisco, CA, USA, August 26, 2001 Revised Papers
Title
WEBKDD 2001 — Mining Web Log Data Across All Customers Touch Points
Title remainder
Third International Workshop San Francisco, CA, USA, August 26, 2001 Revised Papers
Statement of responsibility
edited by Ron Kohavi, Brij M. Masand, Myra Spiliopoulou, Jaideep Srivastava
Creator
Contributor
Editor
Provider
Subject
Language
eng
Summary
This book constitutes the thoroughly refereed post-proceedings of the Third International Workshop on Mining Web Data, WEBKDD 2001 held in San Francisco, CA, USA in August 2001. The seven revised full papers went through two rounds of reviewing an improvement. The book addresses key issues in mining Web log data for e-commerce. The papers are devoted to predicting user access, recommender systems and access modeling, and acquiring and modeling data and patterns
Member of
http://library.link/vocab/creatorName
Kohavi, Ron
Image bit depth
0
LC call number
  • Q334-342
  • TJ210.2-211.495
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
  • Masand, Brij M.
  • Spiliopoulou, Myra.
  • Srivastava, Jaideep.
  • SpringerLink
Series statement
Lecture Notes in Computer Science,
Series volume
2356
http://library.link/vocab/subjectName
  • Computer science
  • Computer Communication Networks
  • Database management
  • Information storage and retrieval systems
  • Information systems
  • Artificial intelligence
  • Computer Science
  • Artificial Intelligence (incl. Robotics)
  • Database Management
  • Information Storage and Retrieval
  • Information Systems Applications (incl.Internet)
  • Computers and Society
  • Computer Communication Networks
Label
WEBKDD 2001 — Mining Web Log Data Across All Customers Touch Points : Third International Workshop San Francisco, CA, USA, August 26, 2001 Revised Papers, edited by Ron Kohavi, Brij M. Masand, Myra Spiliopoulou, Jaideep Srivastava, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Detail and Context in Web Usage Mining: Coarsening and Visualizing Sequences -- A Customer Purchase Incidence Model Applied to Recommender Services -- A Cube Model and Cluster Analysis for Web Access Sessions -- Exploiting Web Log Mining for Web Cache Enhancement -- LOGML: Log Markup Language for Web Usage Mining -- A Framework for Efficient and Anonymous Web Usage Mining Based on Client-Side Tracking -- Mining Indirect Associations in Web Data
Dimensions
unknown
Extent
XI, 166 p.
File format
multiple file formats
Form of item
electronic
Isbn
9783540456407
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/3-540-45640-6
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-3-540-45640-7
Label
WEBKDD 2001 — Mining Web Log Data Across All Customers Touch Points : Third International Workshop San Francisco, CA, USA, August 26, 2001 Revised Papers, edited by Ron Kohavi, Brij M. Masand, Myra Spiliopoulou, Jaideep Srivastava, (electronic resource)
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Detail and Context in Web Usage Mining: Coarsening and Visualizing Sequences -- A Customer Purchase Incidence Model Applied to Recommender Services -- A Cube Model and Cluster Analysis for Web Access Sessions -- Exploiting Web Log Mining for Web Cache Enhancement -- LOGML: Log Markup Language for Web Usage Mining -- A Framework for Efficient and Anonymous Web Usage Mining Based on Client-Side Tracking -- Mining Indirect Associations in Web Data
Dimensions
unknown
Extent
XI, 166 p.
File format
multiple file formats
Form of item
electronic
Isbn
9783540456407
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/3-540-45640-6
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-3-540-45640-7

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