Titlebook: Rough Sets and Knowledge Technology; 10th International C Davide Ciucci,Guoyin Wang,Wei-Zhi Wu Conference proceedings 2015 Springer Interna

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A Further Investigation to Relative Reducts of Decision Information Systemsetween these relative reducts and present the generalized relative reduct. Then we investigate the relationship between several discernibility matrixes and present the generalized discernibility matrix and discernibility function. Finally, we employ several examples to illustrate the related results accordingly.

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PICKT: A Solution for Big Data Analysisnetwork Convergence, are growing in an amazing speed which causes the advent of the era of Big Data. Big Data is often described by using five V’s: Volume, Velocity, Variety, Value and Veracity. Exploring efficient and effective data mining and knowledge discovery methods to handle Big Data with ric

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Interactive Granular Computingng reasoning over computations performed by agents. Agents are performing computations on complex objects (e.g., (behavioral) patterns, classifiers, clusters, structural objects, sets of rules, aggregation operations, (approximate) reasoning schemes etc.). In Granular Computing (GrC), all such const

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Rough Set Tools for Practical Data Exploration for this purpose that were developed over the years. Then, we introduce the . extension for the RapidMiner integrated software platform for machine learning and data mining, along with RoughSets package for R System – the leading software environment for statistical computing. We conclude with disc