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JASIS
2000
143views more  JASIS 2000»
13 years 7 months ago
Discovering knowledge from noisy databases using genetic programming
s In data mining, we emphasize the need for learning from huge, incomplete and imperfect data sets (Fayyad et al. 1996, Frawley et al. 1991, Piatetsky-Shapiro and Frawley, 1991). T...
Man Leung Wong, Kwong-Sak Leung, Jack C. Y. Cheng
SC
2005
ACM
14 years 1 months ago
Bridging the Macro and Micro: A Computing Intensive Earthquake Study Using Discovery Net
We present the development and use of a novel distributed geohazard modeling environment for the analysis and interpretation of large scale earthquake data sets. Our work demonstr...
Yike Guo, Jian Guo Liu, Moustafa Ghanem, Kyran Mis...
NAR
2011
158views Computer Vision» more  NAR 2011»
12 years 10 months ago
T1DBase: update 2011, organization and presentation of large-scale data sets for type 1 diabetes research
T1DBase (http://www.t1dbase.org) is web platform, which supports the type 1 diabetes (T1D) community. It integrates genetic, genomic and expression data relevant to T1D research a...
Oliver S. Burren, Ellen C. Adlem, Premanand Achuth...
ARTMED
1999
92views more  ARTMED 1999»
13 years 7 months ago
Two-Stage Machine Learning model for guideline development
We present a Two-Stage Machine Learning (ML) model as a data mining method to develop practice guidelines and apply it to the problem of dementia staging. Dementia staging in clin...
Subramani Mani, William Rodman Shankle, Malcolm B....
KBSE
2010
IEEE
13 years 5 months ago
An experience report on scaling tools for mining software repositories using MapReduce
The need for automated software engineering tools and techniques continues to grow as the size and complexity of studied systems and analysis techniques increase. Software enginee...
Weiyi Shang, Bram Adams, Ahmed E. Hassan