259 search results - page 29 / 52 » Mining frequent itemsets in time-varying data streams |
100
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CINQ
2004
Springer
15 years 3 months ago
2004
Springer
Frequent Pattern Mining (FPM) is a very powerful paradigm for mining informative and useful patterns in massive, complex datasets. In this paper we propose the Data Mining Templat...
119
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AICCSA
2008
IEEE
14 years 10 months ago
2008
IEEE
Mining fault tolerant (FT) frequent patterns from transactional datasets are very complex than mining all frequent patterns (itemsets), in terms of both search space exploration a...
ML
2010
ACM
14 years 8 months ago
2010
ACM
Many knowledge representation mechanisms are based on tree-like structures, thus symbolizing the fact that certain pieces of information are related in one sense or another. There ...
AUSDM
2007
Springer
15 years 3 months ago
2007
Springer
Data streams are usually generated in an online fashion characterized by huge volume, rapid unpredictable rates, and fast changing data characteristics. It has been hence recogniz...
115
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KDD
1999
ACM
15 years 2 months ago
1999
ACM
It has been claimed that the discovery of association rules is well-suited for applications of market basket analysis to reveal regularities in the purchase behaviour of customers...