977 search results - page 20 / 196 » Mining Default Rules from Statistical Data |
KDD
2006
ACM
15 years 10 months ago
2006
ACM
In many applications, association rules will only be interesting if they represent non-trivial correlations between all constituent items. Numerous techniques have been developed ...
92
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CORR
2004
Springer
14 years 9 months ago
2004
Springer
Mining frequent itemsets is at the core of mining association rules, and is by now quite well understood algorithmically for main memory databases. In this paper, we investigate a...
103
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PKDD
2000
Springer
15 years 1 months ago
2000
Springer
Abstract. This paper proposes a novel approach named AGM to eciently mine the association rules among the frequently appearing substructures in a given graph data set. A graph tran...
95
Voted
GECCO
2005
Springer
15 years 3 months ago
2005
Springer
We explore several different techniques in our quest to improve the overall model performance of a genetic algorithm calibrated probabilistic cellular automata. We use the Kappa ...
KDD
1999
ACM
15 years 1 months ago
1999
ACM
In this paper a concern about the accuracy (as a function of parallelism) of a certain class of distributed learning algorithms is raised, and one proposed improvement is illustrat...