Data Mining, Rough Sets and Granular Computing
 536 Pages
 May 28, 2002
 2.37 MB
 3009 Downloads
 English
PhysicaVerlag Heidelberg
Artificial intelligence, Databases & data structures, Mathematical theory of computation, Set Theory, Data mining, Database Engineering, Fuzzy Sets, Computers, Computers  General Information, General, Computer Books: General, Artificial Intelligence  General, Database Management  General, Computers / Artificial Intelligence, Soft computing, Mathematics, Computer Bks  General Inform
Contributions  Tsau Young Lin (Editor), Yiyu Y. Yao (Editor), Lotfi A. Zadeh (Editor) 
The Physical Object  

Format  Hardcover 
ID Numbers  
Open Library  OL9103958M 
ISBN 10  379081461X 
ISBN 13  9783790814613 




The theory and practice of bibliographic failure, or, Misinformation in the information society
578 Pages1.62 MB9571 DownloadsFormat: FB2 
This volume contains the Data Mining selected for presentation at the 10th Int national Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrCorganized at the University of Regina, August 31st–September 3rd, In this perspective, granular computing has a position of centrality in data mining.
Another methodology which has high relevance to data mining and plays a central role in this volume is that of rough set theory.
Download Data Mining, Rough Sets and Granular Computing EPUB
Basically, rough set theory may be viewed as a branch of granular computing. In this perspective, granular computing has a position of centrality in data mining.
Another methodology which has high relevance to data mining and plays a central role in this volume is that of rough set theory. Basically, rough set theory may be viewed as a branch of granular : Hardcover.
Skowron A and Peters J Rough sets Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing, () Save to Binder Create a New Binder.
This book constitutes the refereed conference proceedings of the 15th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, RSFDGrCheld in Tianjin, China in November as one of the colocated conference of the Joint Rough Set Symposium, JRS Manufacturer: Springer.
Data Mining, Rough Sets and Granular Computing Pdf During the past few years, data mining has grown rapidly in visibility and importance within information processing and decision analysis.
This is par ticularly true in the realm of ecommerce, where data mining is moving from a "nicetohave" to a "musthave" status. This volume contains the papers selected for presentation at the 10th Int national Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrCorganized at the University of Regina, August 31st–September 3rd, This conference followed in the footsteps of inter.
In essence, data mining deals with summarization of information which Data Mining resident in large data sets, while granular computing plays a key role in the summarization process by.
Granular Computing and Rough Sets. X_ In book: Data Mining and Knowledge Discovery Handbook (pp) and representations on binary relation from the view of granular computing. Read "Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing 15th International Conference, RSFDGrCTianjin, China, November, Proceedings" by available from Rakuten Kobo.
This book constitutes the refereed conference proceedings of Brand: Springer International Publishing. The paper outlines the formalism of granular computing and elucidates the mathematical underpinning of rough set theory, which has been widely used by the data mining and the machine learning.
This book constitutes the refereed proceedings of the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrCheld in Toronto, Canada in May in conjunction with the Second International Conference on Rough Sets and Knowledge Technology, RSKTboth as part of the Joint Rough Set Symposium, JRS Author: Aijun An.
This book constitutes the refereed proceedings of the 13th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrCheld in Moscow, Russia in June The 49 revised full papers presented together with 5 invited and 2 tutorial papers were carefully reviewed and selected from a total of 83 submissions.
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This book constitutes the refereed proceedings of the 12th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrCheld in Delhi, India in December in conjunction with the Third International Conference on Pattern Recognition and Machine Intelligence, PReMI Author: Hiroshi Sakai.
In computer science, a rough set, first described by Polish computer scientist Zdzisław I. Pawlak, is a formal approximation of a crisp set (i.e., conventional set) in terms of a pair of sets which give the lower and the upper approximation of the original set.
In the standard version of rough set theory (Pawlak ), the lower and upperapproximation sets are crisp sets, but in other. Granular computing (GrC) is an emerging computing paradigm of information processing that concerns the processing of complex information entities called "information granules", which arise in the process of data abstraction and derivation of knowledge from information or data.
Generally speaking, information granules are collections of entities that usually originate at the numeric level and. Publication: Data mining, rough sets and granular computing January Pages – 0 citation; 0; Downloads. Metrics. Total Citations 0. Total Downloads 0. Last 12 Months 0.
Last 6 weeks 0. Data mining, rough sets and granular computing Finding unexpected patterns in data. Pages – Get this from a library.
Data mining, rough sets, and granular computing. [Tsau Y Lin; Yiyu Yao; Lotfi A Zadeh;]  This volume is the result of a twoyear project aimed at coalescing the concepts and techniques of granular computing on one side, and rough set.
T.Y. Lin, Granular Computing on Binary Relations I data mining and neighborhood systems, II rough set representations and belief functions, In Rough Setsin Knowledge. This book constitutes the refereed proceedings of the 12th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrCheld in Delhi, India in December in conjunction with the Third International Conference on Pattern Recognition and Machine Intelligence, PReMI Price: $ This volume contains the papers selected for presentation at the 10th Int national Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrCorganized at the University of Regina, August 31st&#;September 3rd, This conference followed in the footsteps of Brand: Dominik Slezak.
Additional studies of granular computing, within the context of computational intelligence, can be found in recently edited books,22,39,51 a book by Bargiela and Pedrycz,4 and conferences proceedings of International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing and IEEE International Conference on Granular Computing.
Granular computing (GrC) is a label of theories, methodologies, techniques, and tools that make use of granules in the process of problem solving. The philosophy of granular computing has appeared in many fields, and it is likely playing a more and more important role in data mining.
Rough set theor Cited by: ´ ˛zak Sergei O. Kuznetsov Dominik Sle Daryl H. Hepting Boris G. Mirkin (Eds.) Rough Sets, Fuzzy Sets, Data Mining and Granular Computing 13th International Conference, RSFDGrC Moscow. He was program chair of the International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing held (Regina, ).
He has also propagated rough sets by organizing special sessions and workshops at other conferences, in particular, as a reviewing committee cochair of the Indian International Conference on Artificial. The rough sets not only can be used to deal with new uncertain information systems, but also can optimize many existing soft computing methods.
For the rough set theory, in the process of data mining, there are still a large number of problems need to be discussed, such as large data sets, efficient reduction algorithm, parallel computing Cited by: Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing: 15th International Conference, RSFDGrCTianjin, China, November, Proceedings: Yao, Yiyu Format: Paperback.
Lee "Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing 15th International Conference, RSFDGrCTianjin, China, November, Proceedings" por disponible en Rakuten Kobo.
This book constitutes the refereed conference proceedings of Brand: Springer International Publishing.
Description Data Mining, Rough Sets and Granular Computing EPUB
Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing: 15th International Conference, RSFDGrCTianjin, China, November, Proceedings Notes Manufacturer: Springer.
The Handbook of Granular Computing represents a significant and valuable contribution to the literature and will appeal to a broad audience including researchers, students and practitioners in the fields of Computational Intelligence, pattern recognition, fuzzy sets and neural networks, system modelling, operations research and bioinformatics.
New Editor for International Journal of Granular Computing, Rough Sets and Intelligent Systems. 16 October, Dr. Liang Zhou from Shanghai Jiao Tong University in China has been appointed to take over editorship of the International Journal of Granular Computing, Rough Sets and Intelligent Systems.Granular Computing in Machine Learning and Data Mining Dr.
Witold Pedrycz MSc, PhD, DSci professor Research Chair member editorinchief associate editor recipient 2,3, Andrzej Skowron PhD, DSci Professor Full Professor supervisor editorinchief member coeditorinchief president program committee member program chair Honorary Professor 4 and.Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing 粗集、模糊集、数据挖掘和粒度计算/会议录 第I部分的话题 (全部 条) 什么是话题 无论是一部作品、一个人，还是一件事，都往往可以衍生出许多不同的话题。.





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