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KDD
1997
ACM
159views Data Mining» more  KDD 1997»
13 years 11 months ago
New Algorithms for Fast Discovery of Association Rules
Discovery of association rules is an important problem in database mining. In this paper we present new algorithms for fast association mining, which scan the database only once, ...
Mohammed Javeed Zaki, Srinivasan Parthasarathy, Mi...
KDD
2006
ACM
198views Data Mining» more  KDD 2006»
14 years 8 months ago
CFI-Stream: mining closed frequent itemsets in data streams
Mining frequent closed itemsets provides complete and condensed information for non-redundant association rules generation. Extensive studies have been done on mining frequent clo...
Nan Jiang, Le Gruenwald
PODS
2003
ACM
151views Database» more  PODS 2003»
14 years 7 months ago
Feasible itemset distributions in data mining: theory and application
Computing frequent itemsets and maximally frequent itemsets in a database are classic problems in data mining. The resource requirements of all extant algorithms for both problems...
Ganesh Ramesh, William Maniatty, Mohammed Javeed Z...
VLDB
2004
ACM
127views Database» more  VLDB 2004»
14 years 26 days ago
Computing Frequent Itemsets Inside Oracle 10G
1 Frequent itemset counting is the first step for most association rule algorithms and some classification algorithms. It is the process of counting the number of occurrences of ...
Wei Li, Ari Mozes
DKE
2008
113views more  DKE 2008»
13 years 7 months ago
An efficient algorithm for mining closed inter-transaction itemsets
In this paper, we propose an efficient algorithm, called ICMiner (Inter-transaction Closed patterns Miner), for mining closed inter-transaction itemsets. Our proposed algorithm co...
Anthony J. T. Lee, Chun-sheng Wang, Wan-Yu Weng, Y...