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» Evaluation of Sampling for Data Mining of Association Rules
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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
TKDE
2008
139views more  TKDE 2008»
13 years 8 months ago
Mining Weighted Association Rules without Preassigned Weights
Association rule mining is a key issue in data mining. However, the classical models ignore the difference between the transactions, and the weighted association rule mining does n...
Ke Sun, Fengshan Bai
DASFAA
2006
IEEE
133views Database» more  DASFAA 2006»
14 years 2 months ago
Mining Spatio-temporal Association Rules, Sources, Sinks, Stationary Regions and Thoroughfares in Object Mobility Databases
Abstract. As mobile devices proliferate and networks become more locationaware, the corresponding growth in spatio-temporal data will demand analysis techniques to mine patterns th...
Florian Verhein, Sanjay Chawla
ICDM
2002
IEEE
153views Data Mining» more  ICDM 2002»
14 years 1 months ago
Generating an informative cover for association rules
Mining association rules may generate a large numbers of rules making the results hard to analyze manually. Pasquier et al. have discussed the generation of GuiguesDuquenne–Luxe...
Laurentiu Cristofor, Dan A. Simovici
ICDM
2006
IEEE
115views Data Mining» more  ICDM 2006»
14 years 2 months ago
Multi-Tier Granule Mining for Representations of Multidimensional Association Rules
It is a big challenge to promise the quality of multidimensional association mining. The essential issue is how to represent meaningful multidimensional association rules efficien...
Yuefeng Li, Wanzhong Yang, Yue Xu