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With the rapid development of electronic, engineering, information and network technologies, large-scale data mining and knowledge discovery have become a new challenge. In this paper, a hierarchical-coevolutionary-MapReduce-based knowledge reduction algorithm (HCMRKR) with robust ensemble Pareto dominance is proposed for big data analysis. Firstly, a novel hierarchical co-evolutionary MapReduce framework...
In order to further improve the adaptability of attribute reduction and enhance its application performance in large-scale attribute reduction, a more efficient attribute self-adaptive co-evolutionary reduction algorithm by combining quantum elitist frogs and cloud model operators (QECMASCR) is proposed in this paper. Firstly, quantum chromosome is used to encode the evolutionary population, and a...
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