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» Further Pruning for Efficient Association Rule Discovery
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JMLR
2010
117views more  JMLR 2010»
12 years 11 months ago
Exploiting the High Predictive Power of Multi-class Subgroups
Subgroup discovery aims at finding subsets of a population whose class distribution is significantly different from the overall distribution. A number of multi-class subgroup disc...
Tarek Abudawood, Peter A. Flach
ENC
2004
IEEE
13 years 8 months ago
Efficient Data Structures and Parallel Algorithms for Association Rules Discovery
Discovering patterns or frequent episodes in transactions is an important problem in data-mining for the purpose of infering deductive rules from them. Because of the huge size of...
Christophe Cérin, Gay Gay, Gaël Le Mah...
DMIN
2006
126views Data Mining» more  DMIN 2006»
13 years 6 months ago
An Algorithm for the Discovery of Arbitrary Length Ordinal Association Rules
Association rule mining techniques are used to search attribute-value pairs that occur frequently together in a data set. Ordinal association rules are a particular type of associa...
Alina Campan, Gabriela Serban, Traian Marius Truta...
KBS
2002
88views more  KBS 2002»
13 years 4 months ago
Mining the optimal class association rule set
We define an optimal class association rule set to be the minimum rule set with the same predictive power of the complete class association rule set. Using this rule set instead o...
Jiuyong Li, Hong Shen, Rodney W. Topor
PKDD
2000
Springer
123views Data Mining» more  PKDD 2000»
13 years 8 months ago
Supporting Discovery in Medicine by Association Rule Mining of Bibliographic Databases
The paper presents an interactive discovery support system for the field of medicine. The intended users of the system are medical researchers. The goal of the system is: for a giv...
Dimitar Hristovski, Saso Dzeroski, Borut Peterlin,...