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» Clustering Improves the Exploration of Graph Mining Results
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ISI
2008
Springer
14 years 12 months ago
Probabilistic frameworks for privacy-aware data mining
Often several cooperating parties would like to have a global view of their joint data for various data mining objectives, but cannot reveal the contents of individual records due...
Joydeep Ghosh
WWW
2008
ACM
16 years 16 days ago
Exploring social annotations for information retrieval
Social annotation has gained increasing popularity in many Web-based applications, leading to an emerging research area in text analysis and information retrieval. This paper is c...
Ding Zhou, Jiang Bian, Shuyi Zheng, Hongyuan Zha, ...
IWPC
2005
IEEE
15 years 5 months ago
A Qualitative Comparison of Three Aspect Mining Techniques
The fact that crosscutting concerns (aspects) cannot be well modularized in object oriented software is an impediment to program comprehension: the implementation of a concern is ...
Mariano Ceccato, Marius Marin, Kim Mens, Leon Moon...
AUSAI
2004
Springer
15 years 3 months ago
Using Classification to Evaluate the Output of Confidence-Based Association Rule Mining
Abstract. Association rule mining is a data mining technique that reveals interesting relationships in a database. Existing approaches employ different parameters to search for int...
Stefan Mutter, Mark Hall, Eibe Frank
KDD
2002
ACM
170views Data Mining» more  KDD 2002»
16 years 7 days ago
Enhanced word clustering for hierarchical text classification
In this paper we propose a new information-theoretic divisive algorithm for word clustering applied to text classification. In previous work, such "distributional clustering&...
Inderjit S. Dhillon, Subramanyam Mallela, Rahul Ku...