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» Probabilistic frequent itemset mining in uncertain databases
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PPOPP
2005
ACM
14 years 1 months ago
A sampling-based framework for parallel data mining
The goal of data mining algorithm is to discover useful information embedded in large databases. Frequent itemset mining and sequential pattern mining are two important data minin...
Shengnan Cong, Jiawei Han, Jay Hoeflinger, David A...
ADBIS
2003
Springer
108views Database» more  ADBIS 2003»
14 years 27 days ago
Evaluation of Common Counting Method for Concurrent Data Mining Queries
Data mining queries are often submitted concurrently to the data mining system. The data mining system should take advantage of overlapping of the mined datasets. In this paper we ...
Marek Wojciechowski, Maciej Zakrzewicz
FIMI
2003
104views Data Mining» more  FIMI 2003»
13 years 9 months ago
AIM: Another Itemset Miner
We present a new algorithm for mining frequent itemsets. Past studies have proposed various algorithms and techniques for improving the efficiency of the mining task. We integrate...
Amos Fiat, Sagi Shporer
DAWAK
2004
Springer
13 years 11 months ago
PROWL: An Efficient Frequent continuity Mining Algorithm on Event Sequences
Mining association rule in event sequences is an important data mining problem with many applications. Most of previous studies on association rules are on mining intra-transaction...
Kuo-Yu Huang, Chia-Hui Chang, Kuo-Zui Lin
ACTA
2007
85views more  ACTA 2007»
13 years 7 months ago
The complexity of satisfying constraints on databases of transactions
Abstract Computing frequent itemsets is one of the most prominent problems in data mining. Recently, a new related problem, called FREQSAT, was introduced and studied: given some i...
Toon Calders