62 search results - page 7 / 13 » Interestingness measures for data mining: A survey |
CINQ
2004
Springer
14 years 1 months 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 ...
KDD
2005
ACM
14 years 8 months ago
2005
ACM
The search for frequent subgraphs is becoming increasingly important in many application areas including Web mining and bioinformatics. Any use of graph structures in mining, howev...
KDD
2012
ACM
11 years 10 months ago
2012
ACM
Objects with multiple numeric attributes can be compared within any “subspace” (subset of attributes). In applications such as computational journalism, users are interested i...
PAKDD
2010
ACM
14 years 11 days ago
2010
ACM
Abstract. Discovering interesting patterns in long sequences, and finding confident association rules within them, is a popular area in data mining. Most existing methods define...
EAAI
2007
13 years 7 months ago
2007
: In knowledge discovery and data mining many measures of interestingness have been proposed in order to measure the relevance and utility of the discovered patterns. Among these m...