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A New Model for Profitable Pattern Mining
Profitable pattern mining is a captivating research area that accentuates to adjudicate the business objectives. One of the most prominent and unaddressed business objectives regarding this discussion is Profit. The research problem as well as the prominent objective behind this research paper is to extract profitable rules accurately, efficiently as well as in optimized manner. To accomplish the above objective, incorporation of rough set theory followed by conventional association rule mining algorithm and genetic based optimization is used in optimized and efficient manner. The proposed model overcomes the major findings to make model more beneficial for any business organization in the current scenario.
Keywords
Association Rules, Data Mining, Genetic Algorithm, Market Basket Analysis, Profitable Pattern Mining (PPM), Rough Set Theory (RST).
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