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» Discovering Case Knowledge Using Data Mining
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KDD
1998
ACM
118views Data Mining» more  KDD 1998»
14 years 2 months ago
A Belief-Driven Method for Discovering Unexpected Patterns
Several pattern discovery methods proposed in the data mining literature have the drawbacks that they discover too many obvious or irrelevant patterns and that they do not leverag...
Balaji Padmanabhan, Alexander Tuzhilin
AISADM
2005
Springer
14 years 3 months ago
A Cooperative Multi-agent Data Mining Model and Its Application to Medical Data on Diabetes
Abstract. We present CoLe, a model for cooperative agents for mining knowledge from heterogeneous data. CoLe allows for the cooperation of different mining agents and the combinat...
Jie Gao, Jörg Denzinger, Robert C. James
KBS
2007
101views more  KBS 2007»
13 years 9 months ago
A Knowledge Base for the maintenance of knowledge extracted from web data
By applying web mining tools, significant patterns about the visitor behavior can be extracted from data originated in web sites. Supported by a domain expert, the patterns are v...
Juan D. Velásquez, Vasile Palade
DAGSTUHL
2007
13 years 11 months ago
Discovering Knowledge from Local Patterns with Global Constraints
It is well known that local patterns are at the core of a lot of knowledge which may be discovered from data. Nevertheless, use of local patterns is limited by their huge number an...
Bruno Crémilleux, Arnaud Soulet
ICDM
2006
IEEE
130views Data Mining» more  ICDM 2006»
14 years 3 months 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, ...