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Sophisticated methods for noise filtering, subgroup discovery, and classification in big data analysis.

Big Data is a popular research area where a vast amount of data is created, replicated, and consumed by society. The quality of the data used directly influences big data knowledge discovery. The existence of noise is the most prevalent problem…

Tags: big data, big data analysis, Data analysis, Data mining, fuzzy deep neural network, Fuzzy neural networks, high dimensionality problem, logistic regression-based support vector machine, multi-objective differential search algorithm, Random forest, SEARCH algorithms, slow convergence rate, subgroup discovery, Support vector machines

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