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» Mining Large Itemsets for Association Rules
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DEBU
1998
66views more  DEBU 1998»
13 years 4 months ago
Mining Large Itemsets for Association Rules
This paper provides a survey of the itemset method for association rule generation. The paper discusses past research on the topic and also studies the relevance and importance of...
Charu C. Aggarwal, Philip S. Yu
IDEAL
2004
Springer
13 years 9 months ago
PRICES: An Efficient Algorithm for Mining Association Rules
In this paper, we present PRICES, an efficient algorithm for mining association rules, which first identifies all large itemsets and then generates association rules. Our approach ...
Chuan Wang, Christos Tjortjis
DKE
2007
119views more  DKE 2007»
13 years 4 months ago
Association rules mining using heavy itemsets
A well-known problem that limits the practical usage of association rule mining algorithms is the extremely large number of rules generated. Such a large number of rules makes the...
Girish Keshav Palshikar, Mandar S. Kale, Manoj M. ...
ICDE
2008
IEEE
192views Database» more  ICDE 2008»
14 years 5 months ago
Verifying and Mining Frequent Patterns from Large Windows over Data Streams
Mining frequent itemsets from data streams has proved to be very difficult because of computational complexity and the need for real-time response. In this paper, we introduce a no...
Barzan Mozafari, Hetal Thakkar, Carlo Zaniolo
ICDE
2003
IEEE
146views Database» more  ICDE 2003»
14 years 5 months ago
Generalized Closed Itemsets for Association Rule Mining
The output of boolean association rule mining algorithms is often too large for manual examination. For dense datasets, it is often impractical to even generate all frequent items...
Vikram Pudi, Jayant R. Haritsa