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» Mining Frequent Itemsets Using Genetic Algorithm
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DKE
2007
105views more  DKE 2007»
14 years 9 months ago
On compressing frequent patterns
A major challenge in frequent-pattern mining is the sheer size of its mining results. To compress the frequent patterns, we propose to cluster frequent patterns with a tightness m...
Dong Xin, Jiawei Han, Xifeng Yan, Hong Cheng
KDD
2002
ACM
189views Data Mining» more  KDD 2002»
15 years 10 months ago
Sequential PAttern mining using a bitmap representation
We introduce a new algorithm for mining sequential patterns. Our algorithm is especially efficient when the sequential patterns in the database are very long. We introduce a novel...
Jay Ayres, Jason Flannick, Johannes Gehrke, Tomi Y...
DASFAA
2005
IEEE
171views Database» more  DASFAA 2005»
15 years 3 months ago
Mining Succinct Systems of Minimal Generators of Formal Concepts
Formal concept analysis has become an active field of study for data analysis and knowledge discovery. A formal concept C is determined by its extent (the set of objects that fall...
Guozhu Dong, Chunyu Jiang, Jian Pei, Jinyan Li, Li...
PODS
2009
ACM
134views Database» more  PODS 2009»
15 years 10 months ago
An efficient rigorous approach for identifying statistically significant frequent itemsets
As advances in technology allow for the collection, storage, and analysis of vast amounts of data, the task of screening and assessing the significance of discovered patterns is b...
Adam Kirsch, Michael Mitzenmacher, Andrea Pietraca...
ICA3PP
2005
Springer
15 years 3 months ago
Mining Traces of Large Scale Systems
Abstract— Large scale distributed computing infrastructure captures the use of high number of nodes, poor communication performance and continously varying resources that are not...
Christophe Cérin, Michel Koskas