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ICDE
2007
IEEE
119views Database» more  ICDE 2007»
16 years 1 months ago
Practical Preference Relations for Large Data Sets
User-defined preferences allow personalized ranking of query results. A user provides a declarative specification of his/her preferences, and the system is expected to use that ...
Kenneth A. Ross, Peter J. Stuckey, Amélie M...
WCRE
2007
IEEE
16 years 1 months ago
Clone Detection via Structural Abstraction
tection via Structural Abstraction William S. Evans Department of Computer Science University of British Columbia Vancouver, B.C. V6T 1Z4, CANADA Christopher W. Fraser Microsoft Re...
William S. Evans, Christopher W. Fraser, Fei Ma
ECOOP
2007
Springer
16 years 27 days ago
Morphing: Safely Shaping a Class in the Image of Others
We present MJ: a language for specifying general classes whose members are produced by iterating over members of other classes. We call this technique “class morphing” or just ...
Shan Shan Huang, David Zook, Yannis Smaragdakis
HICSS
2006
IEEE
139views Biometrics» more  HICSS 2006»
16 years 24 days ago
Tools for Building Intelligent Tutoring Systems
Intelligent Tutoring Systems (ITSs) have proved useful in a variety of domains, but are notoriously resource intensive to build. We have created two programs (“tutor generators...
Viswanathan Kodaganallur, Rob R. Weitz, David Rose...
ICDM
2006
IEEE
226views Data Mining» more  ICDM 2006»
16 years 23 days ago
Converting Output Scores from Outlier Detection Algorithms into Probability Estimates
Current outlier detection schemes typically output a numeric score representing the degree to which a given observation is an outlier. We argue that converting the scores into wel...
Jing Gao, Pang-Ning Tan