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» Automated Learning of Rules Using Genetic Operators
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OOPSLA
2009
Springer
14 years 2 months ago
Towards automation of iteration planning
Iterations are time-boxed periods with an intended outcome that is often a set of implemented requirements. Iterations are part of most common software development lifecycle model...
Jonas Helming, Maximilian Koegel, Zardosht Hodaie
GECCO
2007
Springer
147views Optimization» more  GECCO 2007»
14 years 1 months ago
GAINS: genetic algorithms for increasing net sales of a mobile reverse demand communication system
In this paper, I describe MRDCOM, a mobile reverse-demand communication system for the pizza industry. The web-based system will support student (buyer) sign-up and will be capabl...
Michael Henry Wolk
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
14 years 1 months ago
Evolving problem heuristics with on-line ACGP
Genetic Programming uses trees to represent chromosomes. The user defines the representation space by defining the set of functions and terminals to label the nodes in the trees. ...
Cezary Z. Janikow
ICCBR
2001
Springer
14 years 6 days ago
A Fuzzy-Rough Approach for Case Base Maintenance
Abstract. This paper proposes a fuzzy-rough method of maintaining CaseBased Reasoning (CBR) systems. The methodology is mainly based on the idea that a large case library can be tr...
Guoqing Cao, Simon C. K. Shiu, Xizhao Wang
CSREASAM
2003
13 years 9 months ago
KDD Feature Set Complaint Heuristic Rules for R2L Attack Detection
Automated rule induction procedures like machine learning and statistical techniques result in rules that lack generalization and maintainability. Developing rules manually throug...
Maheshkumar Sabhnani, Gürsel Serpen