Transactions On Rough Sets Ii

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Transactions on Rough Sets II

Author : James F. Peters
Publisher : Springer Science & Business Media
ISBN 13 : 3540239901
Total Pages : 371 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Transactions on Rough Sets II by : James F. Peters

Download or read book Transactions on Rough Sets II written by James F. Peters and published by Springer Science & Business Media. This book was released on 2004-12-03 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, starting from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to uncertainty, vagueness and incompleteness, such as fuzzy sets and theory of evidence. This second volume of the Transactions on Rough Sets presents 17 thoroughly reviewed revised papers devoted to rough set theory, fuzzy set theory; these papers highlight important aspects of these theories, their interrelation and application in various fields.

Transactions on Rough Sets X

Author : Mihir Chakraborty
Publisher : Springer Science & Business Media
ISBN 13 : 3642032818
Total Pages : 275 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Transactions on Rough Sets X by : Mihir Chakraborty

Download or read book Transactions on Rough Sets X written by Mihir Chakraborty and published by Springer Science & Business Media. This book was released on 2009-07-25 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book, which constitutes the tenth volume of the Transactions on Rough Sets series, focuses on a number of research streams that were either directly or indirectly begun by the seminal work on rough sets by Zdzislaw Pawlak.

Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam

Author : Andrzej Skowron
Publisher : Springer Science & Business Media
ISBN 13 : 3642303447
Total Pages : 682 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam by : Andrzej Skowron

Download or read book Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam written by Andrzej Skowron and published by Springer Science & Business Media. This book was released on 2012-08-16 with total page 682 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is dedicated to the memory of Professor Zdzis{\l}aw Pawlak who passed away almost six year ago. He is the founder of the Polish school of Artificial Intelligence and one of the pioneers in Computer Engineering and Computer Science with worldwide influence. He was a truly great scientist, researcher, teacher and a human being. This book prepared in two volumes contains more than 50 chapters. This demonstrates that the scientific approaches discovered by of Professor Zdzis{\l}aw Pawlak, especially the rough set approach as a tool for dealing with imperfect knowledge, are vivid and intensively explored by many researchers in many places throughout the world. The submitted papers prove that interest in rough set research is growing and is possible to see many new excellent results both on theoretical foundations and applications of rough sets alone or in combination with other approaches. We are proud to offer the readers this book.

Rough Sets and Knowledge Technology

Author : Guoyin Wang
Publisher : Springer
ISBN 13 : 3540797211
Total Pages : 782 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Rough Sets and Knowledge Technology by : Guoyin Wang

Download or read book Rough Sets and Knowledge Technology written by Guoyin Wang and published by Springer. This book was released on 2008-05-13 with total page 782 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the papers selected for presentation at the Third Inter- tional Conference on Rough Sets and Knowledge Technology (RSKT 2008) held in Chengdu, P. R. China, May 16–19, 2008. The RSKT conferences were initiated in 2006 in Chongqing, P. R. China. RSKT 2007 was held in Toronto, Canada, together with RSFDGrC 2007, as JRS 2007. The RSKT conferences aim to present state-of-the-art scienti?c - sults, encourage academic and industrial interaction, and promote collaborative research in rough sets and knowledge technology worldwide. They place emphasis on exploring synergies between rough sets and knowledge discovery, knowledge management, data mining, granular and soft computing as well as emerging application areas such as bioinformatics, cognitive informatics, and Web intel- gence, both at the level of theoretical foundations and real-life applications. RSKT 2008 focused on ?ve major research ?elds: computing theory and paradigms, knowledge technology, intelligent information processing, intelligent control, and applications. This was achieved by including in the conference program sessions on rough and soft computing, rough mereology with app- cations, dominance-based rough set approach, fuzzy-rough hybridization, gr- ular computing, logical and mathematical foundations, formal concept analysis, data mining, machine learning, intelligent information processing, bioinform- ics and cognitive informatics, Web intelligence, pattern recognition, and real-life applications of knowledge technology. A very strict quality control policy was adopted in the paper review process of RSKT 2008. Firstly, the PC Chairs - viewed all submissions.

Rough Sets and Intelligent Systems Paradigms

Author : Marzena Kryszkiewicz
Publisher : Springer Science & Business Media
ISBN 13 : 3540734503
Total Pages : 854 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Rough Sets and Intelligent Systems Paradigms by : Marzena Kryszkiewicz

Download or read book Rough Sets and Intelligent Systems Paradigms written by Marzena Kryszkiewicz and published by Springer Science & Business Media. This book was released on 2007-06-18 with total page 854 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the International Conference on Rough Sets and Emerging Intelligent Systems Paradigms, RSEISP 2007, held in Warsaw, Poland in June 2007 - dedicated to the memory of Professor Zdzislaw Pawlak. The 73 revised full papers papers presented together with 2 keynote lectures and 11 invited papers were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on foundations of rough sets, foundations and applications of fuzzy sets, granular computing, algorithmic aspects of rough sets, rough set applications, rough/fuzzy approach, information systems and rough sets, data and text mining, machine learning, hybrid methods and applications, multiagent systems, applications in bioinformatics and medicine, multimedia applications, as well as web reasoning and human problem solving.

Algebraic Methods in General Rough Sets

Author : A. Mani
Publisher : Springer
ISBN 13 : 3030011623
Total Pages : 740 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Algebraic Methods in General Rough Sets by : A. Mani

Download or read book Algebraic Methods in General Rough Sets written by A. Mani and published by Springer. This book was released on 2019-01-11 with total page 740 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique collection of research papers offers a comprehensive and up-to-date guide to algebraic approaches to rough sets and reasoning with vagueness. It bridges important gaps, outlines intriguing future research directions, and connects algebraic approaches to rough sets with those for other forms of approximate reasoning. In addition, the book reworks algebraic approaches to axiomatic granularity. Given its scope, the book offers a valuable resource for researchers and teachers in the areas of rough sets and algebras of rough sets, algebraic logic, non classical logic, fuzzy sets, possibility theory, formal concept analysis, computational learning theory, category theory, and other formal approaches to vagueness and approximate reasoning. Consultants in AI and allied fields will also find the book to be of great practical value.

Rough – Granular Computing in Knowledge Discovery and Data Mining

Author : J. Stepaniuk
Publisher : Springer Science & Business Media
ISBN 13 : 3540708006
Total Pages : 162 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Rough – Granular Computing in Knowledge Discovery and Data Mining by : J. Stepaniuk

Download or read book Rough – Granular Computing in Knowledge Discovery and Data Mining written by J. Stepaniuk and published by Springer Science & Business Media. This book was released on 2008-08-19 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 and Knowledge Technology

Author : Peng Wen
Publisher : Springer Science & Business Media
ISBN 13 : 3642029612
Total Pages : 725 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Rough Sets and Knowledge Technology by : Peng Wen

Download or read book Rough Sets and Knowledge Technology written by Peng Wen and published by Springer Science & Business Media. This book was released on 2009-06-24 with total page 725 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Fourth International Conference on Rough Sets and Knowledge Technology, RSKT 2009, held in Gold Coast, Australia, in July 2009. The 85 revised full papers papers presented together with 3 keynote papers and 2 special sessions were carefully reviewed and selected from 229 submissions. The papers are organized in topical sections on rough sets and computing, rough sets and data reduction, data mining and knowledge discovery, granular computing and cognitive computing, fuzzy sets and computing, knowledge technology and intelligent systems, computational intelligence and applications, image processing and understanding, and formal concept analysis.

Applications of Computational Intelligence in Biology

Author : Tomasz G. Smolinski
Publisher : Springer Science & Business Media
ISBN 13 : 3540785337
Total Pages : 439 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Applications of Computational Intelligence in Biology by : Tomasz G. Smolinski

Download or read book Applications of Computational Intelligence in Biology written by Tomasz G. Smolinski and published by Springer Science & Business Media. This book was released on 2008-06-10 with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Intelligence (CI) has been a tremendously active area of - search for the past decade or so. There are many successful applications of CI in many sub elds of biology, including bioinformatics, computational - nomics, protein structure prediction, or neuronal systems modeling and an- ysis. However, there still are many open problems in biology that are in d- perate need of advanced and e cient computational methodologies to deal with tremendous amounts of data that those problems are plagued by. - fortunately, biology researchers are very often unaware of the abundance of computational techniques that they could put to use to help them analyze and understand the data underlying their research inquiries. On the other hand, computational intelligence practitioners are often unfamiliar with the part- ular problems that their new, state-of-the-art algorithms could be successfully applied for. The separation between the two worlds is partially caused by the use of di erent languages in these two spheres of science, but also by the relatively small number of publications devoted solely to the purpose of fac- itating the exchange of new computational algorithms and methodologies on one hand, and the needs of the biology realm on the other. The purpose of this book is to provide a medium for such an exchange of expertise and concerns. In order to achieve the goal, we have solicited cont- butions from both computational intelligence as well as biology researchers.

Rough Sets and Current Trends in Computing

Author : Chien-Chung Chan
Publisher : Springer Science & Business Media
ISBN 13 : 3540884238
Total Pages : 544 pages
Book Rating : 4.5/5 (48 download)

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Book Synopsis Rough Sets and Current Trends in Computing by : Chien-Chung Chan

Download or read book Rough Sets and Current Trends in Computing written by Chien-Chung Chan and published by Springer Science & Business Media. This book was released on 2008-10-07 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: The articles in this volume were selected for presentation at the Sixth Inter- tional Conference on Rough Sets and Current Trends in Computing (RSCTC 2008), which took place on October 23–25 in Akron, Ohio, USA. The conference is a premier event for researchersand industrial professionals interested in the theory and applications of rough sets and related methodo- gies. Since its introduction over 25 years ago by Zdzislaw Pawlak, the theory of rough sets has grown internationally and matured, leading to novel applications and theoretical works in areas such as data mining and knowledge discovery, machine learning, neural nets, granular and soft computing, Web intelligence, pattern recognition and control. The proceedings of the conferences in this - ries, as well as in Rough Sets and Knowledge Technology (RSKT), and the Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC) series report a variety of innovative applications of rough set theory and of its extensions. Since its inception, the mathematical rough set theory was closely connected to application ?elds of computer science and to other areas, such as medicine, which provided additional motivation for its further development and tested its real-life value. Consequently, rough set conferences emphasize the - teractionsandinterconnectionswith relatedresearchareas,providingforumsfor exchanging ideas and mutual learning. The latter aspect is particularly imp- tant since the development of rough set-related applications usually requires a combination of often diverse expertise in rough sets and an application ?eld.

E-Service Intelligence

Author : Jie Lu
Publisher : Springer Science & Business Media
ISBN 13 : 3540370153
Total Pages : 713 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis E-Service Intelligence by : Jie Lu

Download or read book E-Service Intelligence written by Jie Lu and published by Springer Science & Business Media. This book was released on 2006-10-26 with total page 713 pages. Available in PDF, EPUB and Kindle. Book excerpt: Business organizations and governments are nowadays developing and providing internet based electronic services (e-services) featuring various intelligent functions. This book offers a thorough introduction and systematic overview of the new field e-service intelligence. It covers the state-of-the-art of e-service intelligence including both theorems and applications, and a broad range of topics are discussed.

Rough Set and Knowledge Technology

Author : Jian Yu
Publisher : Springer Science & Business Media
ISBN 13 : 3642162479
Total Pages : 797 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Rough Set and Knowledge Technology by : Jian Yu

Download or read book Rough Set and Knowledge Technology written by Jian Yu and published by Springer Science & Business Media. This book was released on 2010-09-27 with total page 797 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th International Conference on Rough Set and Knowledge Technology, RSKT 2010, held in Beijing, China, in October 2010. The 98 revised full papers papers presented were carefully reviewed and selected from 175 initial submissions. The papers are organized in topical sections on rough sets and computing theory, fuzzy sets, knowledge technology, intelligent information processing, health informatics and biometrics authentication, neural networks, complex networks, granular computing, metaheuristic, cloud model and its application, data mining in cloud computing, decision-theoretic rough set model, and quotient space theory research and application.

Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems

Author : Ryszard Kowalczyk
Publisher : Springer
ISBN 13 : 3642044417
Total Pages : 876 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems by : Ryszard Kowalczyk

Download or read book Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems written by Ryszard Kowalczyk and published by Springer. This book was released on 2009-10-04 with total page 876 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational collective intelligence (CCI) is most often understood as a subfield of artificial intelligence (AI) dealing with soft computing methods that enable group decisions to be made or knowledge to be processed among autonomous units acting in distributed environments. The needs for CCI techniques and tools have grown signi- cantly recently as many information systems work in distributed environments and use distributed resources. Web-based systems, social networks and multi-agent systems very often need these tools for working out consistent knowledge states, resolving conflicts and making decisions. Therefore, CCI is of great importance for today’s and future distributed systems. Methodological, theoretical and practical aspects of computational collective int- ligence, such as group decision making, collective action coordination, and knowledge integration, are considered as the form of intelligence that emerges from the collabo- tion and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc. , can support human and other collective intelligence and create new forms of CCI in natural and/or artificial s- tems.

Transactions on Rough Sets II

Author : James F. Peters
Publisher : Springer
ISBN 13 : 3540277781
Total Pages : 371 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Transactions on Rough Sets II by : James F. Peters

Download or read book Transactions on Rough Sets II written by James F. Peters and published by Springer. This book was released on 2004-11-29 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, starting from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to uncertainty, vagueness and incompleteness, such as fuzzy sets and theory of evidence. This second volume of the Transactions on Rough Sets presents 17 thoroughly reviewed revised papers devoted to rough set theory, fuzzy set theory; these papers highlight important aspects of these theories, their interrelation and application in various fields.

Transactions on Rough Sets VII

Author : Victor W. Marek
Publisher : Springer
ISBN 13 : 3540716637
Total Pages : 390 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Transactions on Rough Sets VII by : Victor W. Marek

Download or read book Transactions on Rough Sets VII written by Victor W. Marek and published by Springer. This book was released on 2007-05-31 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: Together with volume VI of the Transactions on Rough Sets series, this book commemorates the life and work of Zdzislaw Pawlak (1926-2006). It presents papers that reflect the profound influence of a number of research initiatives by Professor Pawlak, introducing a number of advances in the foundations and applications of AI, engineering, logic, mathematics, and science, which have had significant implications in a number of research areas.

Computational Intelligence and Feature Selection

Author : Richard Jensen
Publisher : Wiley-IEEE Press
ISBN 13 :
Total Pages : 386 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Computational Intelligence and Feature Selection by : Richard Jensen

Download or read book Computational Intelligence and Feature Selection written by Richard Jensen and published by Wiley-IEEE Press. This book was released on 2008-09-29 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: 'Computational Intelligence and Feature Selection' provides a high level audience with both the background and fundamental ideas behind feature selection with an emphasis on those techniques based on rough and fuzzy sets, including their hybridizations.

Transactions on Rough Sets XV

Author : James F. Peters
Publisher : Springer
ISBN 13 : 3642319033
Total Pages : 189 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Transactions on Rough Sets XV by : James F. Peters

Download or read book Transactions on Rough Sets XV written by James F. Peters and published by Springer. This book was released on 2012-07-09 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt: The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to uncertainty, vagueness, and incompleteness, such as fuzzy sets and theory of evidence. Volume XV offers a number of research streams that have grown out of the seminal work by Zdzislaw Pawlak. The 4 contributions included in this volume presents a rough set approach in machine learning; the introduction of multi-valued near set theory; the advent of a complete system that supports a rough-near set approach to digital image analysis; and an exhaustive study of the mathematics of vagueness.