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» Computing LTS Regression for Large Data Sets
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SIGMOD
2010
ACM
255views Database» more  SIGMOD 2010»
14 years 2 months ago
Large graph processing in the cloud
As the study of graphs, such as web and social graphs, becomes increasingly popular, the requirements of efficiency and programming flexibility of large graph processing tasks c...
Rishan Chen, Xuetian Weng, Bingsheng He, Mao Yang
JBI
2007
127views Bioinformatics» more  JBI 2007»
13 years 9 months ago
Data integration and genomic medicine
Genomic medicine aims to revolutionize health care by applying our growing understanding of the molecular basis of disease. Research in this arena is data intensive, which means d...
Brenton Louie, Peter Mork, Fernando Martín-...
SIGMOD
1997
ACM
131views Database» more  SIGMOD 1997»
14 years 1 months ago
Maintenance of Data Cubes and Summary Tables in a Warehouse
Data warehouses contain large amounts of information, often collected from a variety of independent sources. Decision-support functions in a warehouse, such as on-line analytical ...
Inderpal Singh Mumick, Dallan Quass, Barinderpal S...
PKDD
2009
Springer
134views Data Mining» more  PKDD 2009»
14 years 3 months ago
Multi-task Feature Selection Using the Multiple Inclusion Criterion (MIC)
Abstract. We address the problem of joint feature selection in multiple related classification or regression tasks. When doing feature selection with multiple tasks, usually one c...
Paramveer S. Dhillon, Brian Tomasik, Dean P. Foste...
ICDM
2010
IEEE
127views Data Mining» more  ICDM 2010»
13 years 7 months ago
Learning Markov Network Structure with Decision Trees
Traditional Markov network structure learning algorithms perform a search for globally useful features. However, these algorithms are often slow and prone to finding local optima d...
Daniel Lowd, Jesse Davis