Lecture Notes in Computer Science - WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles
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Published By Springer Berlin Heidelberg

9783540203049, 9783540396635

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Automatic Categorization of Web Pages and User Clustering with Mixtures of Hidden Markov Models

Lecture Notes in Computer Science - WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles ◽

10.1007/978-3-540-39663-5_3 ◽

2003 ◽

pp. 35-49 ◽

Cited By ~ 19

Author(s):

Alexander Ypma ◽

Tom Heskes

Keyword(s):

Hidden Markov Models ◽

Markov Models ◽

Hidden Markov ◽

Web Pages ◽

Automatic Categorization ◽

User Clustering

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Comparing Two Recommender Algorithms with the Help of Recommendations by Peers

Lecture Notes in Computer Science - WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles ◽

10.1007/978-3-540-39663-5_9 ◽

2003 ◽

pp. 137-158 ◽

Cited By ~ 4

Author(s):

Andreas Geyer-Schulz ◽

Michael Hahsler

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Mining WWW Access Sequence by Matrix Clustering

Lecture Notes in Computer Science - WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles ◽

10.1007/978-3-540-39663-5_8 ◽

2003 ◽

pp. 119-136 ◽

Cited By ~ 3

Author(s):

Shigeru Oyanagi ◽

Kazuto Kubota ◽

Akihiko Nakase

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A Customizable Behavior Model for Temporal Prediction of Web User Sequences

Lecture Notes in Computer Science - WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles ◽

10.1007/978-3-540-39663-5_5 ◽

2003 ◽

pp. 66-85 ◽

Cited By ~ 7

Author(s):

Enrique Frías-Martínez ◽

Vijay Karamcheti

Keyword(s):

Behavior Model ◽

Temporal Prediction

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On the Use of Constrained Associations for Web Log Mining

Lecture Notes in Computer Science - WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles ◽

10.1007/978-3-540-39663-5_7 ◽

2003 ◽

pp. 100-118 ◽

Cited By ~ 9

Author(s):

Hui Yang ◽

Srinivasan Parthasarathy

Keyword(s):

Web Log Mining ◽

Web Log ◽

Log Mining

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LumberJack: Intelligent Discovery and Analysis of Web User Traffic Composition

Lecture Notes in Computer Science - WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles ◽

10.1007/978-3-540-39663-5_1 ◽

2003 ◽

pp. 1-16 ◽

Cited By ~ 12

Author(s):

Ed H. Chi ◽

Adam Rosien ◽

Jeffrey Heer

Keyword(s):

Traffic Composition

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Coping with Sparsity in a Recommender System

Lecture Notes in Computer Science - WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles ◽

10.1007/978-3-540-39663-5_6 ◽

2003 ◽

pp. 86-99 ◽

Cited By ~ 1

Author(s):

André Bergholz

Keyword(s):

Recommender System

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Mining eBay: Bidding Strategies and Shill Detection

Lecture Notes in Computer Science - WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles ◽

10.1007/978-3-540-39663-5_2 ◽

2003 ◽

pp. 17-34 ◽

Cited By ~ 15

Author(s):

Harshit S. Shah ◽

Neeraj R. Joshi ◽

Ashish Sureka ◽

Peter R. Wurman

Keyword(s):

Bidding Strategies

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Web Usage Mining by Means of Multidimensional Sequence Alignment Methods

Lecture Notes in Computer Science - WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles ◽

10.1007/978-3-540-39663-5_4 ◽

2003 ◽

pp. 50-65 ◽

Cited By ~ 4

Author(s):

Birgit Hay ◽

Geert Wets ◽

Koen Vanhoof

Keyword(s):

Sequence Alignment ◽

Web Usage Mining ◽

Web Usage

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The Impact of Site Structure and User Environment on Session Reconstruction in Web Usage Analysis

Lecture Notes in Computer Science - WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles ◽

10.1007/978-3-540-39663-5_10 ◽

2003 ◽

pp. 159-179 ◽

Cited By ~ 21

Author(s):

Bettina Berendt ◽

Bamshad Mobasher ◽

Miki Nakagawa ◽

Myra Spiliopoulou

Keyword(s):

Site Structure ◽

Web Usage ◽

Usage Analysis ◽

The Impact

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Lecture Notes in Computer Science - WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and ProfilesLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Automatic Categorization of Web Pages and User Clustering with Mixtures of Hidden Markov Models

Comparing Two Recommender Algorithms with the Help of Recommendations by Peers

Mining WWW Access Sequence by Matrix Clustering

A Customizable Behavior Model for Temporal Prediction of Web User Sequences

On the Use of Constrained Associations for Web Log Mining

LumberJack: Intelligent Discovery and Analysis of Web User Traffic Composition

Coping with Sparsity in a Recommender System

Mining eBay: Bidding Strategies and Shill Detection

Web Usage Mining by Means of Multidimensional Sequence Alignment Methods

The Impact of Site Structure and User Environment on Session Reconstruction in Web Usage Analysis

Lecture Notes in Computer Science - WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles
Latest Publications