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» Elimination of Redundant Information for Web Data Mining
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WEBI
2007
Springer
14 years 1 months ago
Growing Hierarchical Self-Organizing Maps for Web Mining
— Many information retrieval and machine learning methods have not evolved in order to be applied to the Web. Two main problems in applying some machine learning techniques for W...
Joseph P. Herbert, Jingtao Yao
WWW
2009
ACM
14 years 8 months ago
Large scale integration of senses for the semantic web
Nowadays, the increasing amount of semantic data available on the Web leads to a new stage in the potential of Semantic Web applications. However, it also introduces new issues du...
Jorge Gracia, Mathieu d'Aquin, Eduardo Mena
APWEB
2005
Springer
14 years 1 months ago
Using Probabilistic Latent Semantic Analysis for Personalized Web Search
Web users use search engine to find useful information on the Internet. However current web search engines return answer to a query independent of specific user information need. S...
Chenxi Lin, Gui-Rong Xue, Hua-Jun Zeng, Yong Yu
WWW
2004
ACM
14 years 8 months ago
The webgraph framework I: compression techniques
Studying Web graphs is often difficult due to their large size. Recently, several proposals have been published about various techniques that allow to store a Web graph in memory ...
Paolo Boldi, Sebastiano Vigna
ICDM
2007
IEEE
96views Data Mining» more  ICDM 2007»
14 years 1 months ago
The Chosen Few: On Identifying Valuable Patterns
Constrained pattern mining extracts patterns based on their individual merit. Usually this results in far more patterns than a human expert or a machine learning technique could m...
Björn Bringmann, Albrecht Zimmermann