116 search results - page 14 / 24 » Efficient Mining of Recurrent Rules from a Sequence Database |
KDD
2004
ACM
16 years 2 days ago
2004
ACM
The paper presents a method for pruning frequent itemsets based on background knowledge represented by a Bayesian network. The interestingness of an itemset is defined as the abso...
KBS
2006
14 years 11 months ago
2006
We present a multi-objective genetic algorithm for mining highly predictive and comprehensible classification rules from large databases. We emphasize predictive accuracy and comp...
106
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RCIS
2010
14 years 10 months ago
2010
—The strategies for mining frequent itemsets, which is the essential part of discovering association rules, have been widely studied over the last decade. In real-world datasets,...
CIB
2004
14 years 11 months ago
2004
In multi-database mining, there can be many local patterns (frequent itemsets or association rules) in each database. At the end of multi-database mining, it is necessary to analyz...
113
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ESANN
2004
15 years 1 months ago
2004
When we talk about using neural networks for data mining we have in mind the original data mining scope and challenge. How did neural networks meet this challenge? Can we run neura...