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KDD
2007
ACM
152views Data Mining» more  KDD 2007»
16 years 7 days ago
Relational data pre-processing techniques for improved securities fraud detection
Commercial datasets are often large, relational, and dynamic. They contain many records of people, places, things, events and their interactions over time. Such datasets are rarel...
Andrew Fast, Lisa Friedland, Marc Maier, Brian Tay...
KDD
2006
ACM
272views Data Mining» more  KDD 2006»
16 years 7 days ago
YALE: rapid prototyping for complex data mining tasks
KDD is a complex and demanding task. While a large number of methods has been established for numerous problems, many challenges remain to be solved. New tasks emerge requiring th...
Ingo Mierswa, Michael Wurst, Ralf Klinkenberg, Mar...
KDD
2003
ACM
161views Data Mining» more  KDD 2003»
16 years 7 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
RECOMB
2005
Springer
16 years 4 days ago
Causal Inference of Regulator-Target Pairs by Gene Mapping of Expression Phenotypes
Background: Correlations between polymorphic markers and observed phenotypes provide the basis for mapping traits in quantitative genetics. When the phenotype is gene expression, ...
David Kulp, Manjunatha Jagalur
VLDB
2007
ACM
104views Database» more  VLDB 2007»
16 years 2 days ago
Extending Dependencies with Conditions
This paper introduces a class of conditional inclusion dependencies (CINDs), which extends traditional inclusion dependencies (INDs) by enforcing bindings of semantically related ...
Loreto Bravo, Wenfei Fan, Shuai Ma