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» Adapting the Fitness Function in GP for Data Mining
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SDM
2009
SIAM
124views Data Mining» more  SDM 2009»
14 years 4 months ago
Non-parametric Information-Theoretic Measures of One-Dimensional Distribution Functions from Continuous Time Series.
We study non-parametric measures for the problem of comparing distributions, which arise in anomaly detection for continuous time series. Non-parametric measures take two distribu...
Ali Dasdan, Paolo D'Alberto
PKDD
2005
Springer
130views Data Mining» more  PKDD 2005»
14 years 1 months ago
Unsupervised Discretization Using Tree-Based Density Estimation
This paper presents an unsupervised discretization method that performs density estimation for univariate data. The subintervals that the discretization produces can be used as the...
Gabi Schmidberger, Eibe Frank
ICSE
1998
IEEE-ACM
13 years 11 months ago
A Model of Noisy Software Engineering Data (Status Report)
other projects in the database. Software development data is highly variable, which often result,s in underlying trends being hidden. In order to address this problem, a method of ...
Roseanne Tesoriero, Marvin V. Zelkowitz
DAWAK
2001
Springer
14 years 1 days ago
Adaptable Similarity Search Using Vector Quantization
Adaptable similarity queries based on quadratic form distance functions are widely popular in data mining applications, particularly for domains such as multimedia, CAD, molecular ...
Christian Böhm, Hans-Peter Kriegel, Thomas Se...
GFKL
2007
Springer
148views Data Mining» more  GFKL 2007»
14 years 1 months ago
Mixture Model Based Group Inference in Fused Genotype and Phenotype Data
The analysis of genetic diseases has classically been directed towards establishing direct links between cause, a genetic variation, and effect, the observable deviation of phenot...
Benjamin Georgi, M. Anne Spence, Pamela Flodman, A...