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» The data mining approach to automated software testing
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KDD
2003
ACM
142views Data Mining» more  KDD 2003»
16 years 7 months ago
Frequent-subsequence-based prediction of outer membrane proteins
A number of medically important disease-causing bacteria (collectively called Gram-negative bacteria) are noted for the extra "outer" membrane that surrounds their cell....
Rong She, Fei Chen 0002, Ke Wang, Martin Ester, Je...
ICSM
2007
IEEE
16 years 1 months ago
Release Pattern Discovery: A Case Study of Database Systems
Studying the release-time activities of a software project — that is, activities that occur around the time of a major or minor release — can provide insights into both the de...
Abram Hindle, Michael W. Godfrey, Richard C. Holt
ANOR
2010
119views more  ANOR 2010»
15 years 6 months ago
Alternating local search based VNS for linear classification
We consider the linear classification method consisting of separating two sets of points in d-space by a hyperplane. We wish to determine the hyperplane which minimises the sum of...
Frank Plastria, Steven De Bruyne, Emilio Carrizosa
KES
2006
Springer
15 years 6 months ago
Evolutionary Tuning of Combined Multiple Models
Abstract. In data mining, hybrid intelligent systems present a synergistic combination of multiple approaches to develop the next generation of intelligent systems. Our paper prese...
Gregor Stiglic, Peter Kokol
ENVSOFT
2006
84views more  ENVSOFT 2006»
15 years 6 months ago
Modeling the fate of down-the-drain chemicals in rivers: An improved software for GREAT-ER
GREAT-ER (Geography-referenced Regional Exposure Assessment Tool for European Rivers) is a model system for predicting chemical fate and exposure in surface waters. The GREAT-ER a...
F. Koormann, J. Rominger, D. Schowanek, J.-O. Wagn...