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» On the Complexity of Mining Association Rules
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JIIS
2006
100views more  JIIS 2006»
15 years 6 months ago
Spatial associative classification: propositional vs structural approach
Spatial associative classification takes advantage of employing association rules for spatial classification purposes. In this work, we investigate spatial associative classificati...
Michelangelo Ceci, Annalisa Appice
ICDM
2005
IEEE
130views Data Mining» more  ICDM 2005»
15 years 11 months ago
Obtaining Best Parameter Values for Accurate Classification
In this paper we examine the effect that the choice of support and confidence thresholds has on the accuracy of classifiers obtained by Classification Association Rule Mining. ...
Frans Coenen, Paul H. Leng
SIGMOD
2005
ACM
161views Database» more  SIGMOD 2005»
16 years 6 months ago
Mining Top-k Covering Rule Groups for Gene Expression Data
In this paper, we propose a novel algorithm to discover the topk covering rule groups for each row of gene expression profiles. Several experiments on real bioinformatics datasets...
Gao Cong, Kian-Lee Tan, Anthony K. H. Tung, Xin Xu
EDBT
2000
ACM
15 years 10 months ago
Quality Assessment and Uncertainty Handling in Data Mining Process
The KDD process aims at the discovery and extraction of “useful” knowledge (such as interesting patterns, classification, rules etc) from large data repositories. A widely rec...
Maria Halkidi
ICEIS
2003
IEEE
15 years 11 months ago
Storage of Complex Business Rules in Object Databases
: True integration of large systems requires sharing of information stored in databases beyond sharing of pure data: business rules associated with this data must be shared also. T...
Dalen Kambur, Mark Roantree