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Data Mining Rough Sets And Granular Computing


Data Mining Rough Sets And Granular Computing
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Data Mining Rough Sets And Granular Computing


Data Mining Rough Sets And Granular Computing
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Author : Tsau Young Lin
language : en
Publisher: Springer Science & Business Media
Release Date : 2002-04-10

Data Mining Rough Sets And Granular Computing written by Tsau Young Lin and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-04-10 with Computers categories.


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 e-commerce, where data mining is moving from a "nice-to-have" to a "must-have" status. In a different though related context, a new computing methodology called granular computing is emerging as a powerful tool for the conception, analysis and design of information/intelligent systems. In essence, data mining deals with summarization of information which is resident in large data sets, while granular computing plays a key role in the summarization process by draw ing together points (objects) which are related through similarity, proximity or functionality. 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 computing. However, its applications to data mining have predated that of granular computing.



Data Mining Rough Sets And Granular Computing


Data Mining Rough Sets And Granular Computing
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Author : Tsau Young Lin
language : en
Publisher:
Release Date : 2014-01-15

Data Mining Rough Sets And Granular Computing written by Tsau Young Lin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-15 with categories.




Data Mining Rough Sets And Granular Computing


Data Mining Rough Sets And Granular Computing
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Author : Tsau Young Lin
language : en
Publisher: Physica
Release Date : 2013-11-11

Data Mining Rough Sets And Granular Computing written by Tsau Young Lin and has been published by Physica this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-11 with Computers categories.


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 e-commerce, where data mining is moving from a "nice-to-have" to a "must-have" status. In a different though related context, a new computing methodology called granular computing is emerging as a powerful tool for the conception, analysis and design of information/intelligent systems. In essence, data mining deals with summarization of information which is resident in large data sets, while granular computing plays a key role in the summarization process by draw ing together points (objects) which are related through similarity, proximity or functionality. 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 computing. However, its applications to data mining have predated that of granular computing.



Rough Sets Fuzzy Sets Data Mining And Granular Computing


Rough Sets Fuzzy Sets Data Mining And Granular Computing
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Author : Yiyu Yao
language : en
Publisher: Springer
Release Date : 2015-11-21

Rough Sets Fuzzy Sets Data Mining And Granular Computing written by Yiyu Yao and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-21 with Computers categories.


This book constitutes the refereed conference proceedings of the 15th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, RSFDGrC 2015, held in Tianjin, China in November 2015 as one of the co-located conference of the 2015 Joint Rough Set Symposium, JRS 2015. The 44 papers were carefully reviewed and selected from 97 submissions. The papers in this volume cover topics such as rough sets: the experts speak; generalized rough sets; rough sets and graphs; rough and fuzzy hybridization; granular computing; data mining and machine learning; three-way decisions; IJCRS 2015 data challenge.



Rough Sets Fuzzy Sets Data Mining And Granular Computing


Rough Sets Fuzzy Sets Data Mining And Granular Computing
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Author : Guoyin Wang
language : en
Publisher: Springer
Release Date : 2003-08-03

Rough Sets Fuzzy Sets Data Mining And Granular Computing written by Guoyin Wang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-08-03 with Computers categories.


This volume contains the papers selected for presentation at the 9th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC 2003) held at Chongqing University of Posts and Telecommunications, Chongqing, P.R. China, May 26–29, 2003. There were 245 submissions for RSFDGrC 2003 excluding for 2 invited keynote papers and 11 invited plenary papers. Apart from the 13 invited papers, 114 papers were accepted for RSFDGrC 2003 and were included in this volume. The acceptance rate was only 46.5%. These papers were divided into 39 regular oral presentation papers (each allotted 8 pages), 47 short oral presentation papers (each allotted 4 pages) and 28 poster presentation papers (each allotted 4 pages) on the basis of reviewer evaluations. Each paper was reviewed by three referees. The conference is a continuation and expansion of the International Workshops on Rough Set Theory and Applications. In particular, this was the ninth meeting in the series and the first international conference. The aim of RSFDGrC2003 was to bring together researchers from diverse fields of expertise in order to facilitate mutual understanding and cooperation and to help in cooperative work aimed at new hybrid paradigms. It is our great pleasure to dedicate this volume to Prof. Zdzislaw Pawlak, who first introduced the basic ideas and definitions of rough sets theory over 20 years ago.



Rough Granular Computing In Knowledge Discovery And Data Mining


Rough Granular Computing In Knowledge Discovery And Data Mining
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Author : J. Stepaniuk
language : en
Publisher: Springer
Release Date : 2009-01-29

Rough Granular Computing In Knowledge Discovery And Data Mining written by J. Stepaniuk and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-01-29 with Computers categories.


This book covers methods based on a combination of granular computing, rough sets, and knowledge discovery in data mining (KDD). The discussion of KDD foundations based on the rough set approach and granular computing feature illustrative applications.



Rough Sets Fuzzy Sets Data Mining And Granular Computing


Rough Sets Fuzzy Sets Data Mining And Granular Computing
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Author : Guoyin Wang
language : en
Publisher: Springer Science & Business Media
Release Date : 2003-05-08

Rough Sets Fuzzy Sets Data Mining And Granular Computing written by Guoyin Wang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-05-08 with Computers categories.


This book constitutes the refereed proceedings of the 9th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2003, held in Chongqing, China in May 2003. The 39 revised full papers and 75 revised short papers presented together with 2 invited keynote papers and 11 invited plenary papers were carefully reviewed and selected from a total of 245 submissions. The papers are organized in topical sections on rough sets foundations and methods; fuzzy sets and systems; granular computing; neural networks and evolutionary computing; data mining, machine learning, and pattern recognition; logics and reasoning; multi-agent systems; and Web intelligence and intelligent systems.



Rough Sets Fuzzy Sets Data Mining And Granular Computing


Rough Sets Fuzzy Sets Data Mining And Granular Computing
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Author : Dominik Slezak
language : en
Publisher: Springer
Release Date : 2005-09-19

Rough Sets Fuzzy Sets Data Mining And Granular Computing written by Dominik Slezak and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-09-19 with Computers categories.


This volume contains the papers selected for presentation at the 10th Int- national Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2005, organized at the University of Regina, August 31st–September 3rd, 2005. This conference followed in the footsteps of inter- tional events devoted to the subject of rough sets, held so far in Canada, China, Japan,Poland,Sweden, and the USA. RSFDGrC achievedthe status of biennial international conference, starting from 2003 in Chongqing, China. The theory of rough sets, proposed by Zdzis law Pawlak in 1982, is a model of approximate reasoning. The main idea is based on indiscernibility relations that describe indistinguishability of objects. Concepts are represented by - proximations. In applications, rough set methodology focuses on approximate representation of knowledge derivable from data. It leads to signi?cant results in many areas such as ?nance, industry, multimedia, and medicine. The RSFDGrC conferences put an emphasis on connections between rough sets and fuzzy sets, granularcomputing, and knowledge discoveryand data m- ing, both at the level of theoretical foundations and real-life applications. In the case of this event, additional e?ort was made to establish a linkage towards a broader range of applications. We achieved it by including in the conference program the workshops on bioinformatics, security engineering, and embedded systems, as well as tutorials and sessions related to other application areas.



Rough Sets Fuzzy Sets Data Mining And Granular Computing


Rough Sets Fuzzy Sets Data Mining And Granular Computing
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Author : Sergei O. Kuznetsov
language : en
Publisher: Springer
Release Date : 2011-06-14

Rough Sets Fuzzy Sets Data Mining And Granular Computing written by Sergei O. Kuznetsov and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-06-14 with Computers categories.


This book constitutes the refereed proceedings of the 13th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2011, held in Moscow, Russia in June 2011. 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. The papers are organized in topical sections on rough sets and approximations, coverings and granules, fuzzy set models, fuzzy set applications, compound values, feature selection and reduction, clusters and concepts, rules and trees, image processing, and interactions and visualization.



Rough Sets Fuzzy Sets Data Mining And Granular Computing


Rough Sets Fuzzy Sets Data Mining And Granular Computing
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Author : Guoyin Wang
language : en
Publisher:
Release Date : 2014-01-15

Rough Sets Fuzzy Sets Data Mining And Granular Computing written by Guoyin Wang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-15 with categories.