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kdd | Knowledge Discovery and Data Mining (KDD)

  • 主办方 / 出版社:ACM
  • 方向:数据挖掘
  • CCF等级 / JCR分区:A类类
WEBKDD 2002 - MiningWeb Data for Discovering Usage Patterns and Profiles, 4th International Workshop, Edmonton, Canada, July 23, 2002, Revised Papers.
注意,当前年度会议可能有其他论文集合,点击查看
LumberJack: Intelligent Discovery and Analysis of Web User Traffic Composition.

Ed Huai-hsin Chi, Adam Rosien, Jeffrey Heer

Mining eBay: Bidding Strategies and Shill Detection.

Harshit S. Shah, Neeraj R. Joshi, Ashish Sureka, Peter R. Wurman

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

Alexander Ypma, Tom Heskes

Web Usage Mining by Means of Multidimensional Sequence Alignment Methods.

Birgit Hay, Geert Wets, Koen Vanhoof

A Customizable Behavior Model for Temporal Prediction of Web User Sequences.

Enrique Frías-Martínez, Vijay Karamcheti

Coping with Sparsity in a Recommender System.

André Bergholz

On the Use of Constrained Associations for Web Log Mining.

Hui Yang, Srinivasan Parthasarathy

Mining WWW Access Sequence by Matrix Clustering.

Shigeru Oyanagi, Kazuto Kubota, Akihiko Nakase

Comparing Two Recommender Algorithms with the Help of Recommendations by Peers.

Andreas Geyer-Schulz, Michael Hahsler

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

Bettina Berendt, Bamshad Mobasher, Miki Nakagawa, Myra Spiliopoulou

LumberJack: Intelligent Discovery and Analysis of Web User Traffic Composition.

Ed Huai-hsin Chi, Adam Rosien, Jeffrey Heer

Mining eBay: Bidding Strategies and Shill Detection.

Harshit S. Shah, Neeraj R. Joshi, Ashish Sureka, Peter R. Wurman

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

Alexander Ypma, Tom Heskes

Web Usage Mining by Means of Multidimensional Sequence Alignment Methods.

Birgit Hay, Geert Wets, Koen Vanhoof

A Customizable Behavior Model for Temporal Prediction of Web User Sequences.

Enrique Frías-Martínez, Vijay Karamcheti

Coping with Sparsity in a Recommender System.

André Bergholz

On the Use of Constrained Associations for Web Log Mining.

Hui Yang, Srinivasan Parthasarathy

Mining WWW Access Sequence by Matrix Clustering.

Shigeru Oyanagi, Kazuto Kubota, Akihiko Nakase

Comparing Two Recommender Algorithms with the Help of Recommendations by Peers.

Andreas Geyer-Schulz, Michael Hahsler

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

Bettina Berendt, Bamshad Mobasher, Miki Nakagawa, Myra Spiliopoulou


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