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ICDM
2009
IEEE
122views Data Mining» more  ICDM 2009»
14 years 3 months ago
Detecting and Interpreting Variable Interactions in Observational Ornithology Data
In this paper we demonstrate a practical approach to interaction detection on real data describing the abundance of different species of birds in the prairies east of the souther...
Daria Sorokina, Rich Caruana, Mirek Riedewald, Wes...
ICDM
2006
IEEE
129views Data Mining» more  ICDM 2006»
14 years 2 months ago
Consensus Clustering for Detection of Overlapping Clusters in Microarray Data
Most clustering algorithms are partitional in nature, assigning each data point to exactly one cluster. However, several real world datasets have inherently overlapping clusters i...
Meghana Deodhar, Joydeep Ghosh
KDD
2007
ACM
152views Data Mining» more  KDD 2007»
14 years 9 months 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...
DLOG
2009
13 years 6 months ago
What Happened to Bob? Semantic Data Mining of Context Histories
We report on event recognition within the life logging application IYOUIT for the automatic creation of static diary-like Blogs. Based on the qualitative context histories produced...
Michael Wessel, Marko Luther, Ralf Möller
CORR
2010
Springer
193views Education» more  CORR 2010»
13 years 7 months ago
A Probabilistic Approach for Learning Folksonomies from Structured Data
Learning structured representations has emerged as an important problem in many domains, including document and Web data mining, bioinformatics, and image analysis. One approach t...
Anon Plangprasopchok, Kristina Lerman, Lise Getoor