317 search results - page 27 / 64 » A hybrid approach to mining frequent sequential patterns |
DAWAK
2004
Springer
15 years 1 months ago
2004
Springer
Mining association rule in event sequences is an important data mining problem with many applications. Most of previous studies on association rules are on mining intra-transaction...
114
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DATAMINE
1999
14 years 9 months ago
1999
Discovery of frequent patterns has been studied in a variety of data mining settings. In its simplest form, known from association rule mining, the task is to discover all frequent...
FIMI
2004
14 years 11 months ago
2004
Frequent itemset mining (FIM) is an essential part of association rules mining. Its application for other data mining tasks has also been recognized. It has been an active researc...
147
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IDA
2011
Springer
14 years 4 months ago
2011
Springer
The amount of data produced by ubiquitous computing applications is quickly growing, due to the pervasive presence of small devices endowed with sensing, computing and communicatio...
JCST
2008
14 years 9 months ago
2008
This paper presents some new algorithms to efficiently mine max frequent generalized itemsets (g-itemsets) and essential generalized association rules (g-rules). These are compact ...