90 search results - page 6 / 18 » Constraint programming for itemset mining |
104
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PKDD
2004
Springer
15 years 5 months ago
2004
Springer
Abstract In this paper we propose a novel parallel algorithm for frequent itemset mining. The algorithm is based on the filter-stream programming model, in which the frequent item...
140
Voted
IDA
2002
Springer
15 years 5 days ago
2002
Springer
Levelwise algorithms (e.g., the Apriori algorithm) have been proved eective for association rule mining from sparse data. However, in many practical applications, the computation ...
110
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PKDD
2005
Springer
15 years 5 months ago
2005
Springer
Abstract. The paradigm of pattern discovery based on constraints was introduced with the aim of providing to the user a tool to drive the discovery process towards potentially inte...
PPOPP
2005
ACM
15 years 6 months ago
2005
ACM
The goal of data mining algorithm is to discover useful information embedded in large databases. Frequent itemset mining and sequential pattern mining are two important data minin...
95
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CINQ
2004
Springer
15 years 5 months ago
2004
Springer
Many researchers in our community (this author included) regularly emphasize the role constraints play in improving performance of data-mining algorithms. This emphasis has led to ...