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» Heuristic Measures of Interestingness
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SEMWEB
2009
Springer
14 years 3 months ago
AROMA Results for OAEI 2009
This paper presents the results obtained by AROMA for its second participation to OAEI. AROMA is an hybrid, extensional and asymmetric ontology alignment method that makes use of t...
Jérôme David
ICDM
2006
IEEE
132views Data Mining» more  ICDM 2006»
14 years 2 months ago
High Quality, Efficient Hierarchical Document Clustering Using Closed Interesting Itemsets
High dimensionality remains a significant challenge for document clustering. Recent approaches used frequent itemsets and closed frequent itemsets to reduce dimensionality, and to...
Hassan H. Malik, John R. Kender
PAKDD
2004
ACM
199views Data Mining» more  PAKDD 2004»
14 years 1 months ago
Temporal Sequence Associations for Rare Events
In many real world applications, systematic analysis of rare events, such as credit card frauds and adverse drug reactions, is very important. Their low occurrence rate in large da...
Jie Chen, Hongxing He, Graham J. Williams, Huidong...
ICDM
2010
IEEE
122views Data Mining» more  ICDM 2010»
13 years 6 months ago
Interesting Subset Discovery and Its Application on Service Processes
Various real-life datasets can be viewed as a set of records consisting of attributes explaining the records and set of measures evaluating the records. In this paper, we address t...
Maitreya Natu, Girish Keshav Palshikar
PAKDD
1999
ACM
149views Data Mining» more  PAKDD 1999»
14 years 26 days ago
An Analysis of Quantitative Measures Associated with Rules
In this paper, we analyze quantitative measures associated with if-then type rules. Basic quantities are identified and many existing measures are examined using the basic quantit...
Yiyu Yao, Ning Zhong