Rough Sets And Data Mining

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Rough Sets and Data Mining

Author : T.Y. Lin
Publisher : Springer Science & Business Media
ISBN 13 : 1461314615
Total Pages : 429 pages
Book Rating : 4.4/5 (613 download)

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Book Synopsis Rough Sets and Data Mining by : T.Y. Lin

Download or read book Rough Sets and Data Mining written by T.Y. Lin and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Set Theory: A True Landmark in Data Analysis

Author : Ajith Abraham
Publisher : Springer Science & Business Media
ISBN 13 : 3540899200
Total Pages : 330 pages
Book Rating : 4.5/5 (48 download)

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Book Synopsis Rough Set Theory: A True Landmark in Data Analysis by : Ajith Abraham

Download or read book Rough Set Theory: A True Landmark in Data Analysis written by Ajith Abraham and published by Springer Science & Business Media. This book was released on 2009-02-26 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: Part 1 of this book deals with theoretical contributions of rough set theory, and parts 2 and 3 focus on several real world data mining applications. The book thoroughly explores recent results in rough set research.

Data Mining, Rough Sets and Granular Computing

Author : Tsau Young Lin
Publisher : Physica
ISBN 13 : 3790817910
Total Pages : 538 pages
Book Rating : 4.7/5 (98 download)

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Book Synopsis Data Mining, Rough Sets and Granular Computing by : Tsau Young Lin

Download or read book Data Mining, Rough Sets and Granular Computing written by Tsau Young Lin and published by Physica. This book was released on 2013-11-11 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Guoyin Wang
Publisher : Springer
ISBN 13 : 354039205X
Total Pages : 746 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing by : Guoyin Wang

Download or read book Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing written by Guoyin Wang and published by Springer. This book was released on 2003-08-03 with total page 746 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Set Theory and Granular Computing

Author : Masahiro Inuiguchi
Publisher : Springer
ISBN 13 : 3540364730
Total Pages : 303 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Rough Set Theory and Granular Computing by : Masahiro Inuiguchi

Download or read book Rough Set Theory and Granular Computing written by Masahiro Inuiguchi and published by Springer. This book was released on 2012-12-06 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: After 20 years of pursuing rough set theory and its applications a look on its present state and further prospects is badly needed. The monograph Rough Set Theory and Granular Computing edited by Masahiro Inuiguchi, Shoji Hirano and Shusaku Tsumoto meets this demand. It presents the newest developments in this area and gives fair picture of the state of the art in this domain. Firstly, in the keynote papers by Zdzislaw Pawlak, Andrzej Skowron and Sankar K. Pal the relationship of rough sets with other important methods of data analysis -Bayes theorem, neuro computing and pattern recognitio- is thoroughly examined. Next, several interesting generalizations of the the ory and new directions of research are presented. Furthermore application of rough sets in data mining, in particular, rule induction methods based on rough set theory is presented and discussed. Further important issue dis cussed in the monograph is rough set based data analysis, including study of decisions making in conflict situations. Last but not least, some recent engi neering applications of rough set theory are given. They include a proposal of rough set processor architecture organization for fast implementation of ba sic rough set operations and discussion of results concerning advanced image processing for unmanned aerial vehicle. Thus the monograph beside presenting wide spectrum of ongoing research in this area also points out new emerging areas of study and applications, which makes it a valuable source of information to all interested in this do main.

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

Author : Yiyu Yao
Publisher : Springer
ISBN 13 : 3319257838
Total Pages : 505 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing by : Yiyu Yao

Download or read book Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing written by Yiyu Yao and published by Springer. This book was released on 2015-11-21 with total page 505 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 and Data Mining

Author : T.Y. Lin
Publisher :
ISBN 13 : 9781461314622
Total Pages : 452 pages
Book Rating : 4.3/5 (146 download)

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Book Synopsis Rough Sets and Data Mining by : T.Y. Lin

Download or read book Rough Sets and Data Mining written by T.Y. Lin and published by . This book was released on 1996-11-30 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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

Author : Dominik Ślęzak
Publisher : Springer Science & Business Media
ISBN 13 : 3540286535
Total Pages : 764 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing by : Dominik Ślęzak

Download or read book Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing written by Dominik Ślęzak and published by Springer Science & Business Media. This book was released on 2005-08-22 with total page 764 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two volume set LNAI 3641 and LNAI 3642 constitutes the refereed proceedings of the 10th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2005, held in Regina, Canada in August/September 2005. The 119 revised full papers presented were carefully reviewed and selected from a total of 277 submissions. They comprise the two volumes together with 6 invited papers, 22 approved workshop papers, and 5 special section papers that all were carefully selected and thoroughly revised. The first volume includes 75 contributions related to rough set approximations, rough-algebraic foundations, feature selection and reduction, reasoning in information systems, rough-probabilistic approaches, rough-fuzzy hybridization, fuzzy methods in data analysis, evolutionary computing, machine learning, approximate and uncertain reasoning, probabilistic network models, spatial and temporal reasoning, non-standard logics, and granular computing. The second volume contains 77 contributions and deals with rough set software, data mining, hybrid and hierarchical methods, information retrieval, image recognition and processing, multimedia applications, medical applications, web content analysis, business and industrial applications, the approved workshop papers and the papers accepted for a special session on intelligent and sapient systems.

Data Mining, Rough Sets and Granular Computing

Author : Tsau Young Lin
Publisher :
ISBN 13 : 9783662003213
Total Pages : 548 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Data Mining, Rough Sets and Granular Computing by : Tsau Young Lin

Download or read book Data Mining, Rough Sets and Granular Computing written by Tsau Young Lin and published by . This book was released on 2014-01-15 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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

Author : Davide Ciucci
Publisher : Springer
ISBN 13 : 3642412181
Total Pages : 412 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing by : Davide Ciucci

Download or read book Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing written by Davide Ciucci and published by Springer. This book was released on 2013-10-07 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed conference proceedings of the 14th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, RSFDGrC 2013, held in Halifax, Canada in October 2013 as one of the co-located conference of the 2013 Joint Rough Set Symposium, JRS 2013. The 69 papers (including 44 regular and 25 short papers) included in the JRS proceedings (LNCS 8170 and LNCS 8171) were carefully reviewed and selected from 106 submissions. The papers in this volume cover topics such as inconsistency, incompleteness, non-determinism; fuzzy and rough hybridization; granular computing and covering-based rough sets; soft clustering; image and medical data analysis.

Rough Sets, Fuzzy Sets, Data Mining and Granular Computing

Author : Sergei O. Kuznetsov
Publisher : Springer Science & Business Media
ISBN 13 : 3642218806
Total Pages : 382 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Rough Sets, Fuzzy Sets, Data Mining and Granular Computing by : Sergei O. Kuznetsov

Download or read book Rough Sets, Fuzzy Sets, Data Mining and Granular Computing written by Sergei O. Kuznetsov and published by Springer Science & Business Media. This book was released on 2011-06-14 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 seletion and reduction, clusters and concepts, rules and trees, image processing, and interactions and visualization.

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

Author : Dominik Slezak
Publisher : Springer
ISBN 13 : 3540318259
Total Pages : 748 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing by : Dominik Slezak

Download or read book Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing written by Dominik Slezak and published by Springer. This book was released on 2005-09-19 with total page 748 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Dominik Slezak
Publisher : Springer
ISBN 13 : 3540318240
Total Pages : 748 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing by : Dominik Slezak

Download or read book Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing written by Dominik Slezak and published by Springer. This book was released on 2005-09-14 with total page 748 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Set Methods and Applications

Author : Lech Polkowski
Publisher : Physica
ISBN 13 : 3790818402
Total Pages : 679 pages
Book Rating : 4.7/5 (98 download)

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Book Synopsis Rough Set Methods and Applications by : Lech Polkowski

Download or read book Rough Set Methods and Applications written by Lech Polkowski and published by Physica. This book was released on 2012-10-07 with total page 679 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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

Author : Guoyin Wang
Publisher : Springer Science & Business Media
ISBN 13 : 3540140409
Total Pages : 758 pages
Book Rating : 4.5/5 (41 download)

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Book Synopsis Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing by : Guoyin Wang

Download or read book Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing written by Guoyin Wang and published by Springer Science & Business Media. This book was released on 2003-05-08 with total page 758 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Aijun An
Publisher : Springer Science & Business Media
ISBN 13 : 3540725296
Total Pages : 598 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Rough Sets, Fuzzy Sets, Data Mining and Granular Computing by : Aijun An

Download or read book Rough Sets, Fuzzy Sets, Data Mining and Granular Computing written by Aijun An and published by Springer Science & Business Media. This book was released on 2007-04-27 with total page 598 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

New Directions in Rough Sets, Data Mining, and Granular-Soft Computing

Author : Ning Zhong
Publisher : Springer
ISBN 13 : 3540480617
Total Pages : 566 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis New Directions in Rough Sets, Data Mining, and Granular-Soft Computing by : Ning Zhong

Download or read book New Directions in Rough Sets, Data Mining, and Granular-Soft Computing written by Ning Zhong and published by Springer. This book was released on 2004-06-22 with total page 566 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 7th International Workshop on Rough Sets, Fuzzy Sets, Data Mining, and Granular-Soft Computing, RSFDGrC'99, held in Yamaguchi, Japan, in November 1999. The 45 revised regular papers and 15 revised short papers presented together with four invited contributions were carefully reviewed and selected from 89 submissions. The book is divided into sections on rough computing: foundations and applications, rough set theory and applications, fuzzy set theory and applications, nonclassical logic and approximate reasoning, information granulation and granular computing, data mining and knowledge discovery, machine learning, and intelligent agents and systems.