ATA mining has attracted many researchers and analysts in the information industry and in research organizations as a whole in the last decades, due to the availability of large amounts of data and the impending need for changing such data into meaningful information and knowledge. The useful information and knowledge gained can be used for applications ranging from market survey, customer retention, and production control to evolutionary analysis and science exploration , .
Classification as an important data mining technique involves extracting interesting patterns representing knowledge from large real-world databases. Such analysis can provide a deep insight into the better understanding of different large-scale databases. The study related to effective knowledge development is ...
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