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» Mining Frequent Itemsets from Uncertain Data
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VLDB
2000
ACM
130views Database» more  VLDB 2000»
13 years 11 months ago
Mining Frequent Itemsets Using Support Constraints
Interesting patterns often occur at varied levels of support. The classic association mining based on a uniform minimum support, such as Apriori, either misses interesting pattern...
Ke Wang, Yu He, Jiawei Han
KDD
2006
ACM
134views Data Mining» more  KDD 2006»
14 years 8 months ago
Identifying bridging rules between conceptual clusters
1 A bridging rule in this paper has its antecedent and action from different conceptual clusters. We first design two algorithms for mining bridging rules between clusters in a dat...
Shichao Zhang, Feng Chen, Xindong Wu, Chengqi Zhan...
ICDE
2001
IEEE
163views Database» more  ICDE 2001»
14 years 9 months ago
MAFIA: A Maximal Frequent Itemset Algorithm for Transactional Databases
We present a new algorithm for mining maximal frequent itemsets from a transactional database. Our algorithm is especially efficient when the itemsets in the database are very lon...
Douglas Burdick, Manuel Calimlim, Johannes Gehrke
DMKD
2004
ACM
139views Data Mining» more  DMKD 2004»
14 years 1 months ago
COFI approach for mining frequent itemsets revisited
Mohammad El-Hajj, Osmar R. Zaïane
ICDE
2000
IEEE
118views Database» more  ICDE 2000»
14 years 9 months ago
Mining Recurrent Items in Multimedia with Progressive Resolution Refinement
Despite the overwhelming amounts of multimedia data recently generated and the significance of such data, very few people have systematically investigated multimedia data mining. ...
Hua Zhu, Jiawei Han, Osmar R. Zaïane