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BPM
2008
Springer
192views Business» more  BPM 2008»
15 years 8 months ago
Trace Clustering in Process Mining
Process mining has proven to be a valuable tool for analyzing operational process executions based on event logs. Existing techniques perform well on structured processes, but stil...
Minseok Song, Christian W. Günther, Wil M. P....
CLASSIFICATION
2007
105views more  CLASSIFICATION 2007»
15 years 6 months ago
Bayesian Regularization for Normal Mixture Estimation and Model-Based Clustering
Normal mixture models are widely used for statistical modeling of data, including cluster analysis. However maximum likelihood estimation (MLE) for normal mixtures using the EM al...
Chris Fraley, Adrian E. Raftery
IPM
2006
111views more  IPM 2006»
15 years 6 months ago
Combining preference- and content-based approaches for improving document clustering effectiveness
E-commerce and knowledge management applications generate and consume tremendous amounts of online information that is typically available as textual documents. To facilitate subs...
Chih-Ping Wei, Chin-Sheng Yang, Han-Wei Hsiao, Tsa...
IPPS
2010
IEEE
15 years 3 months ago
A low cost split-issue technique to improve performance of SMT clustered VLIW processors
Very Long Instruction Word (VLIW) processors are a popular choice in embedded domain due to their hardware simplicity, low cost and low power consumption. Simultaneous MultiThreadi...
Manoj Gupta, Fermín Sánchez, Josep L...
SIAMMAX
2010
116views more  SIAMMAX 2010»
15 years 1 months ago
Acquired Clustering Properties and Solution of Certain Saddle Point Systems
Many mathematical models involve flow equations characterized by nonconstant viscosity, and a Stokes type problem with variable viscosity coefficient arises. Appropriate block diag...
M. A. Olshanskii, V. Simoncini