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145
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KDD
2003
ACM
205views Data Mining» more  KDD 2003»
16 years 1 months ago
The data mining approach to automated software testing
In today's industry, the design of software tests is mostly based on the testers' expertise, while test automation tools are limited to execution of pre-planned tests on...
Mark Last, Menahem Friedman, Abraham Kandel
107
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CIKM
2005
Springer
15 years 6 months ago
Internet scale string attribute publish/subscribe data networks
With this work we aim to make a three-fold contribution. We first address the issue of supporting efficiently queries over string-attributes involving prefix, suffix, containmen...
Ioannis Aekaterinidis, Peter Triantafillou
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
15 years 4 months ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa
KAIS
2006
110views more  KAIS 2006»
15 years 21 days ago
Multi-step density-based clustering
Abstract. Data mining in large databases of complex objects from scientific, engineering or multimedia applications is getting more and more important. In many areas, complex dista...
Stefan Brecheisen, Hans-Peter Kriegel, Martin Pfei...
GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
15 years 4 months ago
Evolving distributed agents for managing air traffic
Air traffic management offers an intriguing real world challenge to designing large scale distributed systems using evolutionary computation. The ability to evolve effective air t...
Adrian K. Agogino, Kagan Tumer