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» Large Scale Data Mining: Challenges and Responses
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HPDC
2006
IEEE
16 years 1 days ago
Troubleshooting Distributed Systems via Data Mining
Through massive parallelism, distributed systems enable the multiplication of productivity. Unfortunately, increasing the scale of available machines to users will also multiply d...
David A. Cieslak, Douglas Thain, Nitesh V. Chawla
ICML
2010
IEEE
15 years 7 months ago
Large Scale Max-Margin Multi-Label Classification with Priors
We propose a max-margin formulation for the multi-label classification problem where the goal is to tag a data point with a set of pre-specified labels. Given a set of L labels, a...
Bharath Hariharan, Lihi Zelnik-Manor, S. V. N. Vis...
EUROPAR
2004
Springer
15 years 11 months ago
Large-Scale Deployment in P2P Experiments Using the JXTA Distributed Framework
The interesting properties of P2P systems (high availability despite peer volatility, support for heterogeneous architectures, high scalability, etc.) make them attractive for dist...
Gabriel Antoniu, Luc Bougé, Mathieu Jan, S&...
KDD
2008
ACM
120views Data Mining» more  KDD 2008»
16 years 6 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...
GEOINFORMATICA
2000
73views more  GEOINFORMATICA 2000»
15 years 5 months ago
GIS and Transportation: Status and Challenges
The evolution of GIS-T is characterized in three stages: the map view, the navigational view, and the behavioral view. The static nature of the map view favors applications relate...
Michael F. Goodchild