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» Large Scale Data Mining: Challenges and Responses
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CONSTRAINTS
2010
153views more  CONSTRAINTS 2010»
15 years 3 months ago
Philosophy of the MiniZinc challenge
MiniZinc arose as a response to the extended discussion at CP2006 of the need for a standard modelling language for CP. This is a challenging problem, and we believe MiniZinc makes...
Peter J. Stuckey, Ralph Becket, Julien Fischer
SDM
2009
SIAM
251views Data Mining» more  SDM 2009»
16 years 3 months ago
High Performance Parallel/Distributed Biclustering Using Barycenter Heuristic.
Biclustering refers to simultaneous clustering of objects and their features. Use of biclustering is gaining momentum in areas such as text mining, gene expression analysis and co...
Alok N. Choudhary, Arifa Nisar, Waseem Ahmad, Wei-...
KDD
2007
ACM
143views Data Mining» more  KDD 2007»
16 years 6 months ago
Mining Research Communities in Bibliographical Data
Abstract. Extracting information from very large collections of structured, semistructured or even unstructured data can be a considerable challenge when much of the hidden informa...
Osmar R. Zaïane, Jiyang Chen, Randy Goebel
KDD
2008
ACM
234views Data Mining» more  KDD 2008»
16 years 6 months ago
Angle-based outlier detection in high-dimensional data
Detecting outliers in a large set of data objects is a major data mining task aiming at finding different mechanisms responsible for different groups of objects in a data set. All...
Hans-Peter Kriegel, Matthias Schubert, Arthur Zime...
CN
2004
111views more  CN 2004»
15 years 5 months ago
Edge-to-edge measurement-based distributed network monitoring
Continuous monitoring of a network domain poses several challenges. First, routers of a network domain need to be polled periodically to collect statistics about delay, loss, and ...
Ahsan Habib, Maleq Khan, Bharat K. Bhargava