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ICDCS
2012
IEEE
11 years 7 months ago
MOVE: A Large Scale Keyword-Based Content Filtering and Dissemination System
—The Web 2.0 era is characterized by the emergence of a very large amount of live content. A real time and finegrained content filtering approach can precisely keep users upto-...
Weixiong Rao, Lei Chen 0002, Pan Hui, Sasu Tarkoma
ICDM
2009
IEEE
141views Data Mining» more  ICDM 2009»
13 years 12 months ago
Scalable Algorithms for Distribution Search
Distribution data naturally arise in countless domains, such as meteorology, biology, geology, industry and economics. However, relatively little attention has been paid to data m...
Yasuko Matsubara, Yasushi Sakurai, Masatoshi Yoshi...
CORR
2008
Springer
142views Education» more  CORR 2008»
13 years 5 months ago
A Gaussian Belief Propagation Solver for Large Scale Support Vector Machines
Support vector machines (SVMs) are an extremely successful type of classification and regression algorithms. Building an SVM entails solving a constrained convex quadratic program...
Danny Bickson, Elad Yom-Tov, Danny Dolev
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
13 years 11 months ago
Towards billion-bit optimization via a parallel estimation of distribution algorithm
This paper presents a highly efficient, fully parallelized implementation of the compact genetic algorithm (cGA) to solve very large scale problems with millions to billions of va...
Kumara Sastry, David E. Goldberg, Xavier Llor&agra...
ICPP
2000
IEEE
13 years 9 months ago
A Scalable Parallel Subspace Clustering Algorithm for Massive Data Sets
Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...
Harsha S. Nagesh, Sanjay Goil, Alok N. Choudhary