136 search results - page 7 / 28 » CloseGraph: mining closed frequent graph patterns |
ADMA
2005
Springer
13 years 9 months ago
2005
Springer
Efficient discovery of frequent patterns from large databases is an active research area in data mining with broad applications in industry and deep implications in many areas of d...
VLDB
2005
ACM
14 years 1 months ago
2005
ACM
A major challenge in frequent-pattern mining is the sheer size of its mining results. In many cases, a high min sup threshold may discover only commonsense patterns but a low one ...
KDD
2004
ACM
14 years 8 months ago
2004
ACM
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 ...
KDD
2006
ACM
14 years 8 months ago
2006
ACM
In this work we focus on the problem of frequent itemset mining on large, out-of-core data sets. After presenting a characterization of existing out-of-core frequent itemset minin...
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
Discovering patterns in a sequence is an important aspect of data mining. One popular choice of such patterns are episodes, patterns in sequential data describing events that often...