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ICDM
2006
IEEE
130views Data Mining» more  ICDM 2006»
14 years 23 days ago
A Framework for Regional Association Rule Mining in Spatial Datasets
The immense explosion of geographically referenced data calls for efficient discovery of spatial knowledge. One critical requirement for spatial data mining is the capability to ...
Wei Ding 0003, Christoph F. Eick, Jing Wang 0007, ...
SCFBM
2008
101views more  SCFBM 2008»
13 years 6 months ago
The MERG Suite: Tools for discovering competencies and associated learning resources
Background: As the demands for competency-based education grow, the need for standardsbased tools to allow for publishing and discovery of competency-based learning content is mor...
Ravi Teja Bhupatiraju, William R. Hersh, Valerie S...
ADVIS
2004
Springer
14 years 3 days ago
Incremental Association Rule Mining Using Materialized Data Mining Views
Data mining is an interactive and iterative process. Users issue series of similar queries until they receive satisfying results, yet currently available data mining systems do not...
Mikolaj Morzy, Tadeusz Morzy, Zbyszko Króli...
KDD
2006
ACM
130views Data Mining» more  KDD 2006»
14 years 7 months ago
Discovering significant rules
In many applications, association rules will only be interesting if they represent non-trivial correlations between all constituent items. Numerous techniques have been developed ...
Geoffrey I. Webb
ML
2008
ACM
13 years 6 months ago
Layered critical values: a powerful direct-adjustment approach to discovering significant patterns
Standard pattern discovery techniques, such as association rules, suffer an extreme risk of finding very large numbers of spurious patterns for many knowledge discovery tasks. The...
Geoffrey I. Webb