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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
Advances in Web Mining and Web Usage Analysis, 7th International Workshop on Knowledge Discovery on the Web, WebKDD 2005, Chicago, IL, USA, August 21, 2005. Revised Papers.
注意,当前年度会议可能有其他论文集合,点击查看
Mining Significant Usage Patterns from Clickstream Data.

Lin Lu, Margaret H. Dunham, Yu Meng

Using and Learning Semantics in Frequent Subgraph Mining.

Bettina Berendt

Overcoming Incomplete User Models in Recommendation Systems Via an Ontology.

Vincent Schickel-Zuber, Boi Faltings

Data Sparsity Issues in the Collaborative Filtering Framework.

Miha Grcar, Dunja Mladenic, Blaz Fortuna, Marko Grobelnik

USER: User-Sensitive Expert Recommendations for Knowledge-Dense Environments.

Colin DeLong, Prasanna Kumar Desikan, Jaideep Srivastava

Analysis and Detection of Segment-Focused Attacks Against Collaborative Recommendation.

Bamshad Mobasher, Robin D. Burke, Chad Williams, Runa Bhaumik

Adaptive Web Usage Profiling.

Bhushan Shankar Suryavanshi, Nematollaah Shiri, Sudhir P. Mudur

On Clustering Techniques for Change Diagnosis in Data Streams.

Charu C. Aggarwal, Philip S. Yu

Personalized Search Results with User Interest Hierarchies Learnt from Bookmarks.

Hyoung-rae Kim, Philip K. Chan


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