253 search results - page 6 / 51 » Using and Learning Semantics in Frequent Subgraph Mining |
EDBT
2009
ACM
15 years 6 months ago
2009
ACM
To our best knowledge, all existing graph pattern mining algorithms can only mine either closed, maximal or the complete set of frequent subgraphs instead of graph generators whic...
104
click to vote
ISSTA
2009
ACM
15 years 6 months ago
2009
ACM
Bug localization has attracted a lot of attention recently. Most existing methods focus on pinpointing a single statement or function call which is very likely to contain bugs. Al...
74
Voted
MMM
2007
Springer
15 years 5 months ago
2007
Springer
This paper investigates the problem of learning the visual semantics of keyword categories for automatic image annotation. Supervised learning algorithms which learn only a single ...
IUI
2009
ACM
15 years 6 months ago
2009
ACM
Intelligent desktop assistants could provide more help for users if they could learn models of the users’ workflows. However, discovering desktop workflows is difficult becau...
109
Voted
ADMA
2008
Springer
15 years 6 months ago
2008
Springer
Association rules mining is a frequently used technique which finds interesting association and correlation relationships among large set of data items which occur frequently toge...