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» Reducing the Frequent Pattern Set
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RSFDGRC
2005
Springer
110views Data Mining» more  RSFDGRC 2005»
14 years 1 months ago
A Rough Set Based Model to Rank the Importance of Association Rules
Abstract. Association rule algorithms often generate an excessive number of rules, many of which are not significant. It is difficult to determine which rules are more useful, int...
Jiye Li, Nick Cercone
VLDB
2004
ACM
103views Database» more  VLDB 2004»
14 years 1 months ago
Distributed Set Expression Cardinality Estimation
We consider the problem of estimating set-expression cardinality in a distributed streaming environment where rapid update streams originating at remote sites are continually tran...
Abhinandan Das, Sumit Ganguly, Minos N. Garofalaki...
ER
2008
Springer
108views Database» more  ER 2008»
13 years 9 months ago
Automatic Extraction of Structurally Coherent Mini-Taxonomies
In this paper we demonstrate an automatic approach for emergent semantics modeling of ontologies. We follow the collaborative ontology construction method without the direct intera...
Khalid Saleem, Zohra Bellahsene
KDD
2007
ACM
165views Data Mining» more  KDD 2007»
14 years 8 months ago
Finding low-entropy sets and trees from binary data
The discovery of subsets with special properties from binary data has been one of the key themes in pattern discovery. Pattern classes such as frequent itemsets stress the co-occu...
Eino Hinkkanen, Hannes Heikinheimo, Heikki Mannila...
APSEC
2005
IEEE
14 years 1 months ago
An Integrated Solution for Testing and Analyzing Java Applications in an Industrial Setting
Testing a large-scale, real-life commercial software application is a very challenging task due to the constant changes in the software, the involvement of multiple programmers an...
W. Eric Wong, J. Jenny Li