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» Clustering Stream Data by Regression Analysis
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PVLDB
2008
182views more  PVLDB 2008»
14 years 9 months ago
SCOPE: easy and efficient parallel processing of massive data sets
Companies providing cloud-scale services have an increasing need to store and analyze massive data sets such as search logs and click streams. For cost and performance reasons, pr...
Ronnie Chaiken, Bob Jenkins, Per-Åke Larson,...
PPOPP
2005
ACM
15 years 3 months ago
Teleport messaging for distributed stream programs
In this paper, we develop a new language construct to address one of the pitfalls of parallel programming: precise handling of events across parallel components. The construct, te...
William Thies, Michal Karczmarek, Janis Sermulins,...
TMM
2010
152views Management» more  TMM 2010»
14 years 4 months ago
Network Awareness of P2P Live Streaming Applications: A Measurement Study
Abstract--Early P2P-TV systems have already attracted millions of users, and many new commercial solutions are entering this market. Little information is however available about h...
Delia Ciullo, M.-A. Garcia da Rocha Neta, Á...
SIGMOD
2009
ACM
476views Database» more  SIGMOD 2009»
15 years 4 months ago
MobileMiner: a real world case study of data mining in mobile communication
Mobile communication data analysis has been often used as a background application to motivate many data mining problems. However, very few data mining researchers have a chance t...
Tengjiao Wang, Bishan Yang, Jun Gao, Dongqing Yang...
NIPS
2001
14 years 10 months ago
Model Based Population Tracking and Automatic Detection of Distribution Changes
Probabilistic mixture models are used for a broad range of data analysis tasks such as clustering, classification, predictive modeling, etc. Due to their inherent probabilistic na...
Igor V. Cadez, Paul S. Bradley