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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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发表于 2025-3-21 18:47:50 | 显示全部楼层 |阅读模式
书目名称Rough Sets and Knowledge Technology
副标题10th International C
编辑Davide Ciucci,Guoyin Wang,Wei-Zhi Wu
视频video
概述Includes supplementary material:
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Rough Sets and Knowledge Technology; 10th International C Davide Ciucci,Guoyin Wang,Wei-Zhi Wu Conference proceedings 2015 Springer Interna
描述This book constitutes the thoroughly refereed conference proceedings of the 10th International Conference on Rough Sets and Knowledge Technology, RSKT 2015, held in Tianjin, China, in November 2015, as part of the International Joint Conference on Rough Sets, IJCRS 2015, together with the 15th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, RSFDgrC 2015. The 66 papers presented at IJCRS 2015 were carefully reviewed and selected from 97 submissions. The 38 papers included in this volume are organized in the following topical sections: rough sets: the experts speak; reducts and rules; three-way decisions; logic and algebra; clustering; rough sets and graphs; and modeling and learning. In addition the volume contains 6 contributions by new fellows of the International Rough Set Society, an invited talk and a tutorial.
出版日期Conference proceedings 2015
关键词Computer vision; Data mining; Distributed computing methodologies; Ensemble methods; Machine learning; Ap
版次1
doihttps://doi.org/10.1007/978-3-319-25754-9
isbn_softcover978-3-319-25753-2
isbn_ebook978-3-319-25754-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2015
The information of publication is updating

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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
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