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» On compressing frequent patterns
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128
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PODS
2003
ACM
151views Database» more  PODS 2003»
16 years 3 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...
130
Voted
PKDD
2007
Springer
147views Data Mining» more  PKDD 2007»
15 years 9 months ago
MINI: Mining Informative Non-redundant Itemsets
Frequent itemset mining assists the data mining practitioner in searching for strongly associated items (and transactions) in large transaction databases. Since the number of frequ...
Arianna Gallo, Tijl De Bie, Nello Cristianini
123
Voted
SDM
2009
SIAM
157views Data Mining» more  SDM 2009»
16 years 24 days ago
MUSK: Uniform Sampling of k Maximal Patterns.
Recent research in frequent pattern mining (FPM) has shifted from obtaining the complete set of frequent patterns to generating only a representative (summary) subset of frequent ...
Mohammad Al Hasan, Mohammed Javeed Zaki
134
Voted
JIIS
2010
106views more  JIIS 2010»
14 years 10 months ago
A new classification 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, ...
152
Voted
KDD
2004
ACM
207views Data Mining» more  KDD 2004»
16 years 4 months ago
SPIN: mining maximal frequent subgraphs from graph databases
One fundamental challenge for mining recurring subgraphs from semi-structured data sets is the overwhelming abundance of such patterns. In large graph databases, the total number ...
Jun Huan, Wei Wang 0010, Jan Prins, Jiong Yang