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JCP
2008
174views more  JCP 2008»
15 years 4 months ago
Design and Implementation of Spatial Data Mining System (M-SDM) based on MATLAB
Taking the design of data analyzing software for imaging brain function -- SPM (Statistical Parameters Mapping) for reference, this study combined MATLAB, GIS and SDM organically, ...
Lu Zhao, Xinqi Zheng, Shuqing Wang
ICTAI
2007
IEEE
15 years 10 months ago
Exploratory Quantitative Contrast Set Mining: A Discretization Approach
Contrast sets have been shown to be a useful tool for describing differences between groups. A contrast set is a set of association rules for which the antecedents describe distin...
Mondelle Simeon, Robert J. Hilderman
GRC
2005
IEEE
15 years 10 months ago
Temporal granular logic for temporal data mining
— In this article, a formalism for a specific temporal data mining task (the discovery of rules, inferred from databases of events having a temporal dimension), is defined. The...
Paul Cotofrei, Kilian Stoffel
KDD
2003
ACM
175views Data Mining» more  KDD 2003»
16 years 4 months ago
Time and sample efficient discovery of Markov blankets and direct causal relations
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
Ioannis Tsamardinos, Constantin F. Aliferis, Alexa...
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RAID
1999
Springer
15 years 8 months ago
Combining Knowledge Discovery and Knowledge Engineering to Build IDSs
We have been developing a data mining (i.e., knowledge discovery) framework, MADAM ID, for Mining Audit Data for Automated Models for Intrusion Detection [LSM98, LSM99b, LSM99a]. ...
Wenke Lee, Salvatore J. Stolfo