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A Framework for Prediction Using Rough Set and Real Coded Genetic Algorithm
Published in Springer Verlag
Volume: 43
Issue: 8
Pages: 4215 - 4227

Internet made a drastic change in the way data are collected. There has been huge and huge collections of data. All these data serve no purpose unless some useful information is mined from it. Prediction of future instances will be major research problem. In this work, we adapt a rough and real coded genetic algorithm-based prediction system for prediction of future instances. We adapt rough set in this work because of uncertainties present in the data. Additionally, it is used to eliminate the unwanted attributes. Real coded genetic algorithm is used to predict the values for the unknown instances by making use of multiple linear regression. The model is experimented over agriculture data obtained from Tiruvannamalai district of Tamil Nadu. The experimental results show the viability of proposed research. © 2017, King Fahd University of Petroleum & Minerals.

About the journal
JournalData powered by TypesetArabian Journal for Science and Engineering
PublisherData powered by TypesetSpringer Verlag
Open AccessNo