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» Computing LTS Regression for Large Data Sets
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OSDI
2008
ACM
13 years 11 months ago
DryadLINQ: A System for General-Purpose Distributed Data-Parallel Computing Using a High-Level Language
DryadLINQ is a system and a set of language extensions that enable a new programming model for large scale distributed computing. It generalizes previous execution environments su...
Yuan Yu, Michael Isard, Dennis Fetterly, Mihai Bud...
ASUNAM
2011
IEEE
12 years 9 months ago
MultiAspectForensics: Pattern Mining on Large-Scale Heterogeneous Networks with Tensor Analysis
—Modern applications such as web knowledge base, network traffic monitoring and online social networks have made available an unprecedented amount of network data with rich type...
Koji Maruhashi, Fan Guo, Christos Faloutsos
MOBISYS
2007
ACM
14 years 8 months ago
Participatory user centered design techniques for a large scale ad-hoc health information system
During mass casualty incidents, an enormous amount of data, including the vital signs of the patients, the location of the patients, and the location of the first responders must ...
Tia Gao, Tammara Massey, Majid Sarrafzadeh, Leo Se...
ISMDA
2005
Springer
14 years 2 months ago
Simultaneous Scheduling of Replication and Computation for Bioinformatic Applications on the Grid
Abstract. One of the first motivations of using grids comes from applications managing large data sets like for example in High Energy Physic or Life Sciences. To improve the glob...
Frederic Desprez, Antoine Vernois, Christophe Blan...
KDD
2008
ACM
120views Data Mining» more  KDD 2008»
14 years 9 months ago
Entity categorization over large document collections
Extracting entities (such as people, movies) from documents and identifying the categories (such as painter, writer) they belong to enable structured querying and data analysis ov...
Arnd Christian König, Rares Vernica, Venkates...