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» Large Scale Data Mining: Challenges and Responses
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SDM
2007
SIAM
107views Data Mining» more  SDM 2007»
15 years 7 months ago
On Demand Phenotype Ranking through Subspace Clustering
High throughput biotechnologies have enabled scientists to collect a large number of genetic and phenotypic attributes for a large collection of samples. Computational methods are...
Xiang Zhang, Wei Wang 0010, Jun Huan
KDD
2012
ACM
244views Data Mining» more  KDD 2012»
13 years 8 months ago
Open domain event extraction from twitter
Tweets are the most up-to-date and inclusive stream of information and commentary on current events, but they are also fragmented and noisy, motivating the need for systems that c...
Alan Ritter, Mausam, Oren Etzioni, Sam Clark
KDD
2009
ACM
164views Data Mining» more  KDD 2009»
16 years 6 months ago
Social influence analysis in large-scale networks
In large social networks, nodes (users, entities) are influenced by others for various reasons. For example, the colleagues have strong influence on one's work, while the fri...
Jie Tang, Jimeng Sun, Chi Wang, Zi Yang
WSC
2008
15 years 8 months ago
Federated simulations for systems of systems integration
Systems of systems integration is a difficult engineering challenge that places a particular burden on the engineers who must develop simulation models to support that integration...
Robert H. Kewley, James Cook, Niki Goerger, Dale H...
ICTAI
2006
IEEE
16 years 6 days ago
Learning to Predict Salient Regions from Disjoint and Skewed Training Sets
We present an ensemble learning approach that achieves accurate predictions from arbitrarily partitioned data. The partitions come from the distributed processing requirements of ...
Larry Shoemaker, Robert E. Banfield, Lawrence O. H...