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BMCBI
2005
87views more  BMCBI 2005»
14 years 11 months ago
BioCreAtIvE Task 1A: gene mention finding evaluation
Background: The biological research literature is a major repository of knowledge. As the amount of literature increases, it will get harder to find the information of interest on...
Alexander S. Yeh, Alexander A. Morgan, Marc E. Col...
KDD
2007
ACM
179views Data Mining» more  KDD 2007»
15 years 6 months ago
Mining statistically important equivalence classes and delta-discriminative emerging patterns
The support-confidence framework is the most common measure used in itemset mining algorithms, for its antimonotonicity that effectively simplifies the search lattice. This com...
Jinyan Li, Guimei Liu, Limsoon Wong
KDD
2004
ACM
145views Data Mining» more  KDD 2004»
16 years 7 days ago
Mining coherent gene clusters from gene-sample-time microarray data
Extensive studies have shown that mining microarray data sets is important in bioinformatics research and biomedical applications. In this paper, we explore a novel type of genesa...
Daxin Jiang, Jian Pei, Murali Ramanathan, Chun Tan...
EUROISI
2008
15 years 1 months ago
Homeland Security Data Mining Using Social Network Analysis
The tragic events of September 11th have caused drastic effects on many aspects of society. Academics in the fields of computational and information science have been called upon ...
Hsinchun Chen
KDD
2009
ACM
159views Data Mining» more  KDD 2009»
16 years 11 days ago
Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation
Effective diagnosis of Alzheimer's disease (AD), the most common type of dementia in elderly patients, is of primary importance in biomedical research. Recent studies have de...
Liang Sun, Rinkal Patel, Jun Liu, Kewei Chen, Tere...