65 search results - page 6 / 13 » Selecting the right interestingness measure for association ... |
SSPR
1998
Springer
13 years 11 months ago
1998
Springer
This paper presents a probabilistic similarity measure for object recognition from large libraries of line-patterns. We commence from a structural pattern representation which use...
KDD
2010
ACM
13 years 11 months ago
2010
ACM
Classification is one of the most essential tasks in data mining. Unlike other methods, associative classification tries to find all the frequent patterns existing in the input...
CINQ
2004
Springer
14 years 12 days ago
2004
Springer
Spatial data mining is a process used to discover interesting but not explicitly available, highly usable patterns embedded in both spatial and nonspatial data, which are possibly ...
BMCBI
2008
13 years 7 months ago
2008
Background: Feature selection is a pattern recognition approach to choose important variables according to some criteria in order to distinguish or explain certain phenomena (i.e....
BMCBI
2008
13 years 7 months ago
2008
Background: Genome wide association (GWA) studies are now being widely undertaken aiming to find the link between genetic variations and common diseases. Ideally, a well-powered G...