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» Educational Data Mining: a Case Study
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KDD
2000
ACM
77views Data Mining» more  KDD 2000»
15 years 3 months ago
Small is beautiful: discovering the minimal set of unexpected patterns
A drawback of most traditional data mining methods is that they do not leverage prior knowledge of users. In many business settings, managers and analysts have significant intuiti...
Balaji Padmanabhan, Alexander Tuzhilin
CIBCB
2009
IEEE
15 years 26 days ago
A framework for the application of decision trees to the analysis of SNPs data
Data mining is the analysis of experimental datasets to extract trends and relationships that can be meaningful for the user. In genetic studies these techniques have revealed inte...
Linda Fiaschi, Jonathan M. Garibaldi, Natalio Kras...
APCCM
2006
15 years 1 months ago
Network data mining: methods and techniques for discovering deep linkage between attributes
Network Data Mining identifies emergent networks between myriads of individual data items and utilises special algorithms that aid visualisation of `emergent' patterns and tre...
John Galloway, Simeon J. Simoff
102
Voted
KDD
2003
ACM
161views Data Mining» more  KDD 2003»
16 years 5 days ago
Empirical Bayesian data mining for discovering patterns in post-marketing drug safety
Because of practical limits in characterizing the safety profiles of therapeutic products prior to marketing, manufacturers and regulatory agencies perform post-marketing surveill...
David M. Fram, June S. Almenoff, William DuMouchel
MSR
2006
ACM
15 years 5 months ago
Concern based mining of heterogeneous software repositories
In the current trend of software engineering, software systems are viewed as clusters of overlapping structures representing various concerns, covering heterogeneous artifacts lik...
Imed Hammouda, Kai Koskimies