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» Identifying Clusters from Positive Data
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ALT
2010
Springer
13 years 11 months ago
Contrast Pattern Mining and Its Application for Building Robust Classifiers
: The ability to distinguish, differentiate and contrast between different data sets is a key objective in data mining. Such ability can assist domain experts to understand their d...
Kotagiri Ramamohanarao
BMCBI
2010
109views more  BMCBI 2010»
13 years 10 months ago
ParallABEL: an R library for generalized parallelization of genome-wide association studies
Background: Genome-Wide Association (GWA) analysis is a powerful method for identifying loci associated with complex traits and drug response. Parts of GWA analyses, especially th...
Unitsa Sangket, Surakameth Mahasirimongkol, Wasun ...
KDD
2006
ACM
170views Data Mining» more  KDD 2006»
14 years 10 months ago
Computer aided detection via asymmetric cascade of sparse hyperplane classifiers
This paper describes a novel classification method for computer aided detection (CAD) that identifies structures of interest from medical images. CAD problems are challenging larg...
Jinbo Bi, Senthil Periaswamy, Kazunori Okada, Tosh...
CGO
2004
IEEE
14 years 1 months ago
Static Identification of Delinquent Loads
The effective use of processor caches is crucial to the performance of applications. It has been shown that cache misses are not evenly distributed throughout a program. In applic...
Vlad-Mihai Panait, Amit Sasturkar, Weng-Fai Wong
SIGIR
2010
ACM
14 years 1 months ago
Uncovering social spammers: social honeypots + machine learning
Web-based social systems enable new community-based opportunities for participants to engage, share, and interact. This community value and related services like search and advert...
Kyumin Lee, James Caverlee, Steve Webb