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» Scalable Model-based Clustering by Working on Data Summaries
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DEBU
2008
186views more  DEBU 2008»
14 years 9 months ago
A Survey of Collaborative Recommendation and the Robustness of Model-Based Algorithms
The open nature of collaborative recommender systems allows attackers who inject biased profile data to have a significant impact on the recommendations produced. Standard memory-...
Jeff J. Sandvig, Bamshad Mobasher, Robin D. Burke
CIKM
2008
Springer
14 years 11 months ago
Scalable community discovery on textual data with relations
Every piece of textual data is generated as a method to convey its authors' opinion regarding specific topics. Authors deliberately organize their writings and create links, ...
Huajing Li, Zaiqing Nie, Wang-Chien Lee, C. Lee Gi...
DBISP2P
2008
Springer
124views Database» more  DBISP2P 2008»
14 years 11 months ago
Exploiting Distribution Skew for Scalable P2P Text Clustering
K-Means clustering is widely used in information retrieval and data mining. Distributed K-Means variants have already been proposed, but none of the past algorithms scales to large...
Odysseas Papapetrou, Wolf Siberski, Fabian Leitrit...
SRDS
2006
IEEE
15 years 3 months ago
A Scalable Services Architecture
Data centers constructed as clusters of inexpensive machines have compelling cost-performance benefits, but developing services to run on them can be challenging. This paper repo...
Tudor Marian, Ken Birman, Robbert van Renesse
SPAA
2012
ACM
13 years 6 hour ago
A scalable framework for heterogeneous GPU-based clusters
GPU-based heterogeneous clusters continue to draw attention from vendors and HPC users due to their high energy efficiency and much improved single-node computational performance...
Fengguang Song, Jack Dongarra