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ICDM
2005
IEEE
125views Data Mining» more  ICDM 2005»
13 years 11 months ago
A Thorough Experimental Study of Datasets for Frequent Itemsets
The discovery of frequent patterns is a famous problem in data mining. While plenty of algorithms have been proposed during the last decade, only a few contributions have tried to...
Frédéric Flouvat, Fabien De Marchi, ...
PAKDD
2007
ACM
148views Data Mining» more  PAKDD 2007»
13 years 11 months ago
Mining Frequent Itemsets from Uncertain Data
Abstract. We study the problem of mining frequent itemsets from uncertain data under a probabilistic framework. We consider transactions whose items are associated with existential...
Chun Kit Chui, Ben Kao, Edward Hung
CINQ
2004
Springer
163views Database» more  CINQ 2004»
13 years 10 months ago
Frequent Itemset Discovery with SQL Using Universal Quantification
Algorithms for finding frequent itemsets fall into two broad classes: (1) algorithms that are based on non-trivial SQL statements to query and update a database, and (2) algorithms...
Ralf Rantzau
CIVR
2006
Springer
104views Image Analysis» more  CIVR 2006»
13 years 9 months ago
Video Mining with Frequent Itemset Configurations
Abstract. We present a method for mining frequently occurring objects and scenes from videos. Object candidates are detected by finding recurring spatial arrangements of affine cov...
Till Quack, Vittorio Ferrari, Luc J. Van Gool
FIMI
2003
120views Data Mining» more  FIMI 2003»
13 years 6 months ago
MAFIA: A Performance Study of Mining Maximal Frequent Itemsets
We present a performance study of the MAFIA algorithm for mining maximal frequent itemsets from a transactional database. In a thorough experimental analysis, we isolate the effec...
Douglas Burdick, Manuel Calimlim, Jason Flannick, ...