Supervised and unsupervised data mining with an evolutionary algorithm

Supervised and unsupervised data mining with an evolutionary algorithm

This paper describes our current research with RAGA (Rule Acquisition with a Genetic Algorithm). RAGA is a genetic algorithm and genetic programming hybrid that is designed for the tasks of supervised and certain types of unsupervised data mining. Since its initial release we have improved its predi...

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Bibliographische Detailangaben
Hauptverfasser: Cattral, R., Oppacher, F., Deugo, D.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Computer science
Data mining
Evolutionary computation
Genetic algorithms
Genetic programming
Hybrid intelligent systems
Supervised learning
Testing
Unsupervised learning
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Beschreibung
Zusammenfassung:This paper describes our current research with RAGA (Rule Acquisition with a Genetic Algorithm). RAGA is a genetic algorithm and genetic programming hybrid that is designed for the tasks of supervised and certain types of unsupervised data mining. Since its initial release we have improved its predictive accuracy and data coverage, as well as its ability to generate more scalable rule hierarchies. These enhancements and several experiments are described.
DOI:10.1109/CEC.2001.934267