Rough Sets Fuzzy Sets And Knowledge Discovery

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Rough Sets, Fuzzy Sets and Knowledge Discovery

Wojciech P. Ziarko
Rough Sets Fuzzy Sets and Knowledge Discovery Book PDF

Author : Wojciech P. Ziarko
Publisher : Springer Science & Business Media
Page : 486 pages
File Size : 52,9 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781447132387

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Rough Sets, Fuzzy Sets and Knowledge Discovery by Wojciech P. Ziarko Pdf

The objective of this book is two-fold. Firstly, it is aimed at bringing to gether key research articles concerned with methodologies for knowledge discovery in databases and their applications. Secondly, it also contains articles discussing fundamentals of rough sets and their relationship to fuzzy sets, machine learning, management of uncertainty and systems of logic for formal reasoning about knowledge. Applications of rough sets in different areas such as medicine, logic design, image processing and expert systems are also represented. The articles included in the book are based on selected papers presented at the International Workshop on Rough Sets and Knowledge Discovery held in Banff, Canada in 1993. The primary methodological approach emphasized in the book is the mathematical theory of rough sets, a relatively new branch of mathematics concerned with the modeling and analysis of classification problems with imprecise, uncertain, or incomplete information. The methods of the theory of rough sets have applications in many sub-areas of artificial intelligence including knowledge discovery, machine learning, formal reasoning in the presence of uncertainty, knowledge acquisition, and others. This spectrum of applications is reflected in this book where articles, although centered around knowledge discovery problems, touch a number of related issues. The book is intended to provide an important reference material for students, researchers, and developers working in the areas of knowledge discovery, machine learning, reasoning with uncertainty, adaptive expert systems, and pattern classification.

Rough Sets in Knowledge Discovery 1

Lech Polkowski,Andrzej Skowron
Rough Sets in Knowledge Discovery 1 Book PDF

Author : Lech Polkowski,Andrzej Skowron
Publisher : Physica
Page : 600 pages
File Size : 47,8 Mb
Release : 1998-07-20
Category : Business & Economics
ISBN : UOM:39015046474899

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Rough Sets in Knowledge Discovery 1 by Lech Polkowski,Andrzej Skowron Pdf

The ideas and techniques worked out in Rough Set Theory allow for knowledge reduction and to finding near - to - functional dependencies in data. This fact determines the importance of these techniques for the rapidly growing field of knowledge discovery. Volume 1 and 2 will bring together articles covering the present state of the methods developed in this field of research. Among the topics covered we may mention: rough mereology and rough mereological approach to knowledge discovery in distributed systems; discretization and quantization of attributes; morphological aspects of rough set theory; analysis of default rules in the framework of rough set theory.

Rough Sets in Knowledge Discovery 2

Lech Polkowski
Rough Sets in Knowledge Discovery 2 Book PDF

Author : Lech Polkowski
Publisher : Physica
Page : 605 pages
File Size : 50,6 Mb
Release : 2013-03-14
Category : Business & Economics
ISBN : 9783790818833

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Rough Sets in Knowledge Discovery 2 by Lech Polkowski Pdf

The papers on rough set theory and its applications placed in this volume present a wide spectrum of problems representative to the present. stage of this theory. Researchers from many countries reveal their rec.ent results on various aspects of rough sets. The papers are not confined only to mathematical theory but also include algorithmic aspects, applications and information about software designed for data analysis based on this theory. The volume contains also list of selected publications on rough sets which can be very useful to every one engaged in research or applications in this domain and sometimes perhaps unaware of results of other authors. The book shows that rough set theory is a vivid and vigorous domain with serious results to its credit and bright perspective for future developments. It lays on the crossroads of fuzzy sets, theory of evidence, neural networks, Petri nets and many other branches of AI, logic and mathematics. These diverse connec tions seem to be a very fertile feature of rough set theory and have essentially contributed to its wide and rapid expansion. It is worth mentioning that its philosophical roots stretch down from Leibniz, Frege and Russell up to Popper. Therefore many concepts dwelled on in rough set theory are not entirely new, nevertheless the theory can be viewed as an independent discipline on its own rights. Rough set theory has found many interesting real life applications in medicine, banking, industry and others.

Rough Set Methods and Applications

Lech Polkowski,Shusaku Tsumoto,Tsau Y. Lin
Rough Set Methods and Applications Book PDF

Author : Lech Polkowski,Shusaku Tsumoto,Tsau Y. Lin
Publisher : Physica
Page : 679 pages
File Size : 41,5 Mb
Release : 2012-10-07
Category : Computers
ISBN : 9783790818406

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Rough Set Methods and Applications by Lech Polkowski,Shusaku Tsumoto,Tsau Y. Lin Pdf

Rough set approach to reasoning under uncertainty is based on inducing knowledge representation from data under constraints expressed by discernibility or, more generally, similarity of objects. Knowledge derived by this approach consists of reducts, decision or association rules, dependencies, templates, or classifiers. This monograph presents the state of the art of this area. The reader will find here a deep theoretical discussion of relevant notions and ideas as well as rich inventory of algorithmic and heuristic tools for knowledge discovery by rough set methods. An extensive bibliography will help the reader to get an acquaintance with this rapidly growing area of research.

Transactions on Rough Sets II

James F. Peters,Didier Dubois,Jerzy Grzymala-Busse,Masahiro Inuiguchi,Lech Polkowski
Transactions on Rough Sets II Book PDF

Author : James F. Peters,Didier Dubois,Jerzy Grzymala-Busse,Masahiro Inuiguchi,Lech Polkowski
Publisher : Springer
Page : 363 pages
File Size : 45,9 Mb
Release : 2004-11-29
Category : Computers
ISBN : 9783540277781

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Transactions on Rough Sets II by James F. Peters,Didier Dubois,Jerzy Grzymala-Busse,Masahiro Inuiguchi,Lech Polkowski Pdf

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.

Rough Sets in Knowledge Discovery 2

Lech Polkowski,Andrzej Skowron
Rough Sets in Knowledge Discovery 2 Book PDF

Author : Lech Polkowski,Andrzej Skowron
Publisher : Boom Koninklijke Uitgevers
Page : 616 pages
File Size : 45,8 Mb
Release : 1998-08-20
Category : Business & Economics
ISBN : 3790811203

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Rough Sets in Knowledge Discovery 2 by Lech Polkowski,Andrzej Skowron Pdf

The ideas and techniques worked out in Rough Set Theory allow for knowledge reduction and to finding near - to - functional dependencies in data. This fact determines the importance of these techniques for the rapidly growing field of knowledge discovery. Volume 1 and 2 will bring together articles covering the present state of the methods developed in this field of research. Among the topics covered we may mention: rough mereology and rough mereological approach to knowledge discovery in distributed systems; discretization and quantization of attributes; morphological aspects of rough set theory; analysis of default rules in the framework of rough set theory.

Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing

Dominik Slezak,JingTao Yao,James F. Peters,Wojciech Ziarko,Xiaohua Hu
Rough Sets Fuzzy Sets Data Mining and Granular Computing Book PDF

Author : Dominik Slezak,JingTao Yao,James F. Peters,Wojciech Ziarko,Xiaohua Hu
Publisher : Springer
Page : 748 pages
File Size : 45,7 Mb
Release : 2005-09-14
Category : Computers
ISBN : 9783540318248

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Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing by Dominik Slezak,JingTao Yao,James F. Peters,Wojciech Ziarko,Xiaohua Hu Pdf

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

Aijun An,Jerzy Stefanowski,Sheela Ramanna,Cory Butz,Witold Pedrycz
Rough Sets Fuzzy Sets Data Mining and Granular Computing Book PDF

Author : Aijun An,Jerzy Stefanowski,Sheela Ramanna,Cory Butz,Witold Pedrycz
Publisher : Springer
Page : 588 pages
File Size : 53,8 Mb
Release : 2007-08-22
Category : Computers
ISBN : 9783540725305

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Rough Sets, Fuzzy Sets, Data Mining and Granular Computing by Aijun An,Jerzy Stefanowski,Sheela Ramanna,Cory Butz,Witold Pedrycz Pdf

This book constitutes the refereed proceedings of the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2007, held in Toronto, Canada in May 2007 in conjunction with the Second International Conference on Rough Sets and Knowledge Technology, RSKT 2007, both as part of the Joint Rough Set Symposium, JRS 2007.

Rough Sets and Data Mining

T.Y. Lin,N. Cercone
Rough Sets and Data Mining Book PDF

Author : T.Y. Lin,N. Cercone
Publisher : Springer Science & Business Media
Page : 429 pages
File Size : 54,9 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461314615

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Rough Sets and Data Mining by T.Y. Lin,N. Cercone Pdf

Rough Sets and Data Mining: Analysis of Imprecise Data is an edited collection of research chapters on the most recent developments in rough set theory and data mining. The chapters in this work cover a range of topics that focus on discovering dependencies among data, and reasoning about vague, uncertain and imprecise information. The authors of these chapters have been careful to include fundamental research with explanations as well as coverage of rough set tools that can be used for mining data bases. The contributing authors consist of some of the leading scholars in the fields of rough sets, data mining, machine learning and other areas of artificial intelligence. Among the list of contributors are Z. Pawlak, J Grzymala-Busse, K. Slowinski, and others. Rough Sets and Data Mining: Analysis of Imprecise Data will be a useful reference work for rough set researchers, data base designers and developers, and for researchers new to the areas of data mining and rough sets.

Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing

Guoyin Wang,Qing Liu,Yiyu Yao
Rough Sets Fuzzy Sets Data Mining and Granular Computing Book PDF

Author : Guoyin Wang,Qing Liu,Yiyu Yao
Publisher : Springer
Page : 746 pages
File Size : 55,9 Mb
Release : 2003-08-03
Category : Computers
ISBN : 9783540392057

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Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing by Guoyin Wang,Qing Liu,Yiyu Yao Pdf

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.

Transactions on Rough Sets XIX

James F. Peters,Andrzej Skowron,Dominik Ślȩzak,Hung Son Nguyen,Jan G. Bazan
Transactions on Rough Sets XIX Book PDF

Author : James F. Peters,Andrzej Skowron,Dominik Ślȩzak,Hung Son Nguyen,Jan G. Bazan
Publisher : Springer
Page : 367 pages
File Size : 55,6 Mb
Release : 2015-07-04
Category : Computers
ISBN : 9783662478158

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Transactions on Rough Sets XIX by James F. Peters,Andrzej Skowron,Dominik Ślȩzak,Hung Son Nguyen,Jan G. Bazan Pdf

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 XIX in the series focuses on the current trends and advances in both the foundations and practical applications of rough sets. It contains 7 extended and revised papers originally presented at the Workshop on Rough Set Applications, RSA 2012, held in Wroclaw, Poland, in September 2012. In addition, the book features 3 contributions in the category of short surveys and monographs on the topic.

Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing

Dominik Slezak,Marcin Szczuka,Ivo Duentsch,Yiyu Yao
Rough Sets Fuzzy Sets Data Mining and Granular Computing Book PDF

Author : Dominik Slezak,Marcin Szczuka,Ivo Duentsch,Yiyu Yao
Publisher : Springer
Page : 748 pages
File Size : 52,9 Mb
Release : 2005-09-19
Category : Computers
ISBN : 9783540318255

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Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing by Dominik Slezak,Marcin Szczuka,Ivo Duentsch,Yiyu Yao Pdf

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 – Granular Computing in Knowledge Discovery and Data Mining

J. Stepaniuk
Rough Granular Computing in Knowledge Discovery and Data Mining Book PDF

Author : J. Stepaniuk
Publisher : Springer Science & Business Media
Page : 162 pages
File Size : 52,9 Mb
Release : 2008-08-19
Category : Computers
ISBN : 9783540708001

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Rough – Granular Computing in Knowledge Discovery and Data Mining by J. Stepaniuk Pdf

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

Dominik Ślęzak
Rough Sets Fuzzy Sets Data Mining and Granular Computing Book PDF

Author : Dominik Ślęzak
Publisher : Springer Science & Business Media
Page : 760 pages
File Size : 54,9 Mb
Release : 2005
Category : Artificial intelligence
ISBN : 9783540286608

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Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing by Dominik Ślęzak Pdf

This volume contains the papers selected for presentation at the 10th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2005, organized at the University of Regina, August 31st–September 3rd, 2005.

Transactions on Rough Sets XVIII

James F. Peters,Andrzej Skowron,Tianrui Li,Yan Yang,JingTao Yao,Hung Son Nguyen
Transactions on Rough Sets XVIII Book PDF

Author : James F. Peters,Andrzej Skowron,Tianrui Li,Yan Yang,JingTao Yao,Hung Son Nguyen
Publisher : Springer
Page : 142 pages
File Size : 44,8 Mb
Release : 2014-08-19
Category : Computers
ISBN : 9783662446805

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Transactions on Rough Sets XVIII by James F. Peters,Andrzej Skowron,Tianrui Li,Yan Yang,JingTao Yao,Hung Son Nguyen Pdf

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 XVIII includes extensions of papers from the Joint Rough Set Symposium (JRS 2012), which was held in Chengdu, China, in August 2012. The seven papers that constitute this volume deal with topics such as: rough fuzzy sets, intuitionistic fuzzy sets, multi-granulation rough sets, decision-theoretic rough sets, three-way decisions and their applications in attribute reduction, feature selection, overlapping clustering, data mining, cost-sensitive learning, face recognition, and spam filtering.