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» Techniques of Cluster Algorithms in Data Mining
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WWW
2006
ACM
14 years 8 months ago
Large-scale text categorization by batch mode active learning
Large-scale text categorization is an important research topic for Web data mining. One of the challenges in large-scale text categorization is how to reduce the amount of human e...
Steven C. H. Hoi, Rong Jin, Michael R. Lyu
HT
2003
ACM
14 years 21 days ago
Enhanced web document summarization using hyperlinks
This paper addresses the issue of Web document summarization. As textual content of Web documents is often scarce or irrelevant and existing summarization techniques are based on ...
Jean-Yves Delort, Bernadette Bouchon-Meunier, Mari...
CIKM
2006
Springer
13 years 11 months ago
Knowing a web page by the company it keeps
Web page classification is important to many tasks in information retrieval and web mining. However, applying traditional textual classifiers on web data often produces unsatisfyi...
Xiaoguang Qi, Brian D. Davison
BMCBI
2007
166views more  BMCBI 2007»
13 years 7 months ago
How to decide which are the most pertinent overly-represented features during gene set enrichment analysis
Background: The search for enriched features has become widely used to characterize a set of genes or proteins. A key aspect of this technique is its ability to identify correlati...
Roland Barriot, David J. Sherman, Isabelle Dutour
VLDB
2007
ACM
155views Database» more  VLDB 2007»
14 years 7 months ago
Towards Graph Containment Search and Indexing
Given a set of model graphs D and a query graph q, containment search aims to find all model graphs g D such that q contains g (q g). Due to the wide adoption of graph models, f...
Chen Chen, Xifeng Yan, Philip S. Yu, Jiawei Han, D...