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» Finding Groups in Data: Cluster Analysis with Ants
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KDD
2005
ACM
119views Data Mining» more  KDD 2005»
15 years 5 months ago
LIPED: HMM-based life profiles for adaptive event detection
In this paper, the proposed LIPED (LIfe Profile based Event Detection) employs the concept of life profiles to predict the activeness of event for effective event detection. A gro...
Chien Chin Chen, Meng Chang Chen, Ming-Syan Chen
GLOBECOM
2010
IEEE
14 years 9 months ago
Optimal Pricing for Mobile Video Streaming Using Behavior Analysis
Mobile phones are among the most popular consumer devices and the recent developments of 3G networks and smart phones enable users to watch video programs by subscribing data plan...
W. Sabrina Lin, K. J. Ray Liu
CCGRID
2007
IEEE
15 years 6 months ago
Profiling Computation Jobs in Grid Systems
The existence of good probabilistic models for the job arrival process and job characteristics is important for the improved understanding of grid systems and the prediction of th...
Michael Oikonomakos, Kostas Christodoulopoulos, Em...
CSDA
2006
84views more  CSDA 2006»
14 years 11 months ago
Three-mode partitioning
The three-mode partitioning model is a clustering model for three-way three-mode data sets that implies a simultaneous partitioning of all three modes involved in the data. In the...
Jan Schepers, Iven Van Mechelen, Eva Ceulemans
SIGSOFT
2005
ACM
15 years 5 months ago
Detecting higher-level similarity patterns in programs
Cloning in software systems is known to create problems during software maintenance. Several techniques have been proposed to detect the same or similar code fragments in software...
Hamid Abdul Basit, Stan Jarzabek