1315 search results - page 41 / 263 » Discovering significant rules |
CLIMA
2004
15 years 1 months ago
2004
Apriori Stochastic Dependency Detection (ASDD) is an algorithm for fast induction of stochastic logic rules from a database of observations made by an agent situated in an environm...
102
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IDA
2002
Springer
14 years 11 months ago
2002
Springer
It has been pointed out that the usual framework to assess association rules, based on support and confidence as measures of importance and accuracy, has several drawbacks. In part...
107
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CORR
2010
Springer
14 years 10 months ago
2010
Springer
Recently, the cyclic association rules have been introduced in order to discover rules from items characterized by their regular variation over time. In real life situations, temp...
110
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KDD
2005
ACM
16 years 6 days ago
2005
ACM
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
KDD
2010
ACM
15 years 3 months ago
2010
ACM
The detection of repeated subsequences, time series motifs, is a problem which has been shown to have great utility for several higher-level data mining algorithms, including clas...