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» Generalized Closed Itemsets for Association Rule Mining
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DEBU
1998
66views more  DEBU 1998»
14 years 11 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
KDD
2004
ACM
148views Data Mining» more  KDD 2004»
16 years 2 days ago
Interestingness of frequent itemsets using Bayesian networks as background knowledge
The paper presents a method for pruning frequent itemsets based on background knowledge represented by a Bayesian network. The interestingness of an itemset is defined as the abso...
Szymon Jaroszewicz, Dan A. Simovici
IJCNN
2007
IEEE
15 years 6 months ago
An Associative Memory for Association Rule Mining
— Association Rule Mining is a thoroughly studied problem in Data Mining. Its solution has been aimed for by approaches based on different strategies involving, for instance, the...
Vicente O. Baez-Monroy, Simon O'Keefe
IDEAL
2004
Springer
15 years 5 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
ICDM
2006
IEEE
140views Data Mining» more  ICDM 2006»
15 years 5 months ago
Mining the Future: Predicting Itemsets' Support of Association Rules Mining
This paper proposes a novel research dimension in the field of data mining, which is mining the future data before its arrival, or in other words: predicting association rules ahe...
Shenoda Guirguis, Khalil M. Ahmed, Nagwa M. El-Mak...