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» Process modeling paradigms: an evaluation
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KDD
2004
ACM
151views Data Mining» more  KDD 2004»
14 years 9 months ago
Feature selection in scientific applications
Numerous applications of data mining to scientific data involve the induction of a classification model. In many cases, the collection of data is not performed with this task in m...
Erick Cantú-Paz, Shawn Newsam, Chandrika Ka...
HPCA
2003
IEEE
14 years 9 months ago
A Statistically Rigorous Approach for Improving Simulation Methodology
Due to cost, time, and flexibility constraints, simulators are often used to explore the design space when developing a new processor architecture, as well as when evaluating the ...
Joshua J. Yi, David J. Lilja, Douglas M. Hawkins
SIGMOD
2002
ACM
172views Database» more  SIGMOD 2002»
14 years 9 months ago
Automating physical database design in a parallel database
Physical database design is important for query performance in a shared-nothing parallel database system, in which data is horizontally partitioned among multiple independent node...
Jun Rao, Chun Zhang, Nimrod Megiddo, Guy M. Lohman
PERCOM
2007
ACM
14 years 8 months ago
Structural Learning of Activities from Sparse Datasets
Abstract. A major challenge in pervasive computing is to learn activity patterns, such as bathing and cleaning from sensor data. Typical sensor deployments generate sparse datasets...
Fahd Albinali, Nigel Davies, Adrian Friday
ICCD
2007
IEEE
157views Hardware» more  ICCD 2007»
14 years 5 months ago
Combining cluster sampling with single pass methods for efficient sampling regimen design
Microarchitectural simulation is orders of magnitude slower than native execution. As more elements are accurately modeled, problems associated with slow simulation are further ex...
Paul D. Bryan, Thomas M. Conte