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» A Pattern Based Data Mining Approach
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113
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SIGSOFT
2007
ACM
16 years 3 months ago
Training on errors experiment to detect fault-prone software modules by spam filter
The fault-prone module detection in source code is of importance for assurance of software quality. Most of previous fault-prone detection approaches are based on software metrics...
Osamu Mizuno, Tohru Kikuno
141
Voted
TKDE
2008
114views more  TKDE 2008»
15 years 2 months ago
Neural-Based Learning Classifier Systems
UCS is a supervised learning classifier system that was introduced in 2003 for classification in data mining tasks. The representation of a rule in UCS as a univariate classificati...
Hai Huong Dam, Hussein A. Abbass, Chris Lokan, Xin...
SEKE
2004
Springer
15 years 7 months ago
Automated Assistance for Eliciting User Expectations
People often use software for mundane tasks and expect it to be dependable enough for their needs. Unfortunately, the incomplete and imprecise specifications of such everyday sof...
Orna Raz, Rebecca B. Buchheit, Mary Shaw, Philip K...
130
Voted
SDM
2009
SIAM
149views Data Mining» more  SDM 2009»
15 years 11 months ago
Near-optimal Supervised Feature Selection among Frequent Subgraphs.
Graph classification is an increasingly important step in numerous application domains, such as function prediction of molecules and proteins, computerised scene analysis, and an...
Alexander J. Smola, Arthur Gretton, Hans-Peter Kri...
138
Voted
IPPS
2009
IEEE
15 years 9 months ago
Coupled placement in modern data centers
We introduce the coupled placement problem for modern data centers spanning placement of application computation and data among available server and storage resources. While the t...
Madhukar R. Korupolu, Aameek Singh, Bhuvan Bamba