- author = "Sunil Choenni",
- title = "On the Suitability of Genetic-Based Algorithms for Data Mining",
- institution = "National Aerospace Laboratory",
- year = "1998",
- number = "NLR-TP-98484",
- address = "Amsterdam",
- month = nov,
- keywords = "genetic algorithms, genetic programming",
-
URL = "
http://www.nlr.nl/NLR-TP-98484.pdf",
-
URL = "
http://citeseer.ist.psu.edu/271039.html",
- abstract = "Data mining has as goal to extract knowledge from large databases. To extract this knowledge, a database may be considered as a large search space, and a mining algorithm as a search strategy. In general, a search space consists of an enormous number of elements, making an exhaustive search infeasible. Therefore, efficient search strategies are of vital importance. Search strategies based on genetic-based algorithms have been applied successfully in a wide range of applications. In this paper, we discuss the suitability of genetic-based algorithms for data mining. We discuss the design and implementation of a genetic-based algorithm for data mining and illustrate its potentials.",
-
notes = "shorter version published as
\cite{Choenni:1999:SGB}
page 22 'real-life database, FAA incident database, contains aircraft incident data 1978-95'",
- size = "26 pages",
