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» Measuring and Predicting Object Importance
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KDD
2005
ACM
106views Data Mining» more  KDD 2005»
14 years 6 days ago
Enhancing the lift under budget constraints: an application in the mutual fund industry
A lift curve, with the true positive rate on the y-axis and the customer pull (or contact) rate on the x-axis, is often used to depict the model performance in many data mining ap...
Lian Yan, Michael Fassino, Patrick Baldasare
WPES
2003
ACM
13 years 12 months ago
Analysis of privacy preserving random perturbation techniques: further explorations
Privacy is becoming an increasingly important issue in many data mining applications, particularly in the security and defense area. This has triggered the development of many pri...
Haimonti Dutta, Hillol Kargupta, Souptik Datta, Kr...
MSS
1999
IEEE
150views Hardware» more  MSS 1999»
13 years 11 months ago
Performance Benchmark Results for Automated Tape Library High Retrieval Rate Applications - Digital Check Image Retrievals
Benchmark tests have been designed and conducted for the purpose of evaluating the use of automated tape libraries in on-line digital check image retrieval applications. This type...
John Gniewek, George Davidson, Bowen Caldwell
EVOW
2007
Springer
13 years 10 months ago
Dinucleotide Step Parameterization of Pre-miRNAs Using Multi-objective Evolutionary Algorithms
MicroRNAs (miRNAs) form a large functional family of small noncoding RNAs and play an important role as posttranscriptional regulators, by repressing the translation of mRNAs. Rece...
Jin-Wu Nam, In-Hee Lee, Kyu Baek Hwang, Seong-Bae ...
TOG
2008
141views more  TOG 2008»
13 years 6 months ago
Simulating knitted cloth at the yarn level
Knitted fabric is widely used in clothing because of its unique and stretchy behavior, which is fundamentally different from the behavior of woven cloth. The properties of knits c...
Jonathan M. Kaldor, Doug L. James, Steve Marschner