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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, the authors discuss the suitability of genetic-based algorithms for data mining. They discuss the various application areas where genetic Algorithm plays evolutionary role with data mining technique and explain them in details.
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