Rough Sets in Knowledge Discovery 2
Rough Sets in Knowledge Discovery 2

Author: Lech Polkowski

Publisher: Physica

Published: 2013-03-14

Total Pages: 605

ISBN-13: 3790818836

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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.

Proceedings of International Joint Conference on Computational Intelligence
Proceedings of International Joint Conference on Computational Intelligence

Author: Mohammad Shorif Uddin

Publisher: Springer Nature

Published: 2020-05-22

Total Pages: 642

ISBN-13: 9811536074

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This book gathers outstanding research papers presented at the International Joint Conference on Computational Intelligence (IJCCI 2019), held at the University of Liberal Arts Bangladesh (ULAB), Dhaka, on 25–26 October 2019 and jointly organized by the University of Liberal Arts Bangladesh (ULAB), Bangladesh; Jahangirnagar University (JU), Bangladesh; and South Asian University (SAU), India. These proceedings present novel contributions in the areas of computational intelligence, and offer valuable reference material for advanced research. The topics covered include collective intelligence, soft computing, optimization, cloud computing, machine learning, intelligent software, robotics, data science, data security, big data analytics, and signal and natural language processing.

Rough Set Methods and Applications
Rough Set Methods and Applications

Author: Lech Polkowski

Publisher: Physica

Published: 2012-10-07

Total Pages: 679

ISBN-13: 3790818402

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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.

Interval / Probabilistic Uncertainty and Non-classical Logics
Interval / Probabilistic Uncertainty and Non-classical Logics

Author: Van-Nam Huynh

Publisher: Springer Science & Business Media

Published: 2008-01-11

Total Pages: 381

ISBN-13: 3540776648

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This book contains the proceedings of the first International Workshop on Interval/Probabilistic Uncertainty and Non Classical Logics, Ishikawa, Japan, March 25-28, 2008. The workshop brought together researchers working on interval and probabilistic uncertainty and on non-classical logics. It is hoped this workshop will lead to a boost in the much-needed collaboration between the uncertainty analysis and non-classical logic communities, and thus, to better processing of uncertainty.

Foundations of Intelligent Systems
Foundations of Intelligent Systems

Author: Zbigniew W. Ras

Publisher: Springer Science & Business Media

Published: 1996-05-15

Total Pages: 684

ISBN-13: 9783540612865

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This book constitutes the refereed proceedings of the 9th International Symposium on Methodologies for Intelligent Systems, ISMIS '96, held in Zakopane, Poland, in June 1996. The 53 revised full papers presented were selected from a total of 124 submissions; also included are 10 invited papers by leading experts surveying the state of the art in the area. The volume covers the following areas: approximate reasoning, evolutionary computation, intelligent information systems, knowledge representation and integration, learning and knowledge discovery, and AI logics.

Internet of Things
Internet of Things

Author: Fausto Pedro García Márquez

Publisher: Springer Nature

Published: 2021-07-13

Total Pages: 304

ISBN-13: 3030704785

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This book provides relevant theoretical frameworks and the latest empirical research findings of Operations Research/Management Science applied to Internet of Things. This book identifies and describes ways in which OR and MS have been applied and influenced the development of IoT. Examples are from smart industry; city; transportation; home and smart devices. It discusses future applications, trends, and potential benefits of this new discipline. It is written for professionals who want to improve their understanding of the strategic role of IoT at various levels of the organization, that is, IoT at the global economy level, at networks and organizations level, at teams and work groups, at information systems and, finally, IoT at the level of individuals, as players in the networked environments.

Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Symbolic and Quantitative Approaches to Reasoning with Uncertainty

Author: Thomas D. Nielsen

Publisher: Springer Science & Business Media

Published: 2003-03-23

Total Pages: 619

ISBN-13: 3540404945

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Since 1991, the European Conference on Symbolic and Quantitative Appr- ches to Reasoning with Uncertainty (ECSQARU) has been a major forum for advances in the theory and practice of reasoning and decision making under - certainty. The scope of ECSQARU is wide and includes, but is not limited to, fundamental issues, representation, inference, learning, and decision making in qualitative and numeric paradigms. The ?rst ECSQARU conference (1991) was held in Marseilles, and since then it has been held in Granada (1993), Fribourg (1995), Bonn (1997), London (1999) and Toulouse (2001). This volume contains the papers that were presented at ECSQARU 2003, held at Aalborg University, Denmark, from July 2 to July 5, 2003. The papers went through a rigorous reviewing process: three program committee members reviewed each paper monitored by an area chair, who made a ?nal recomm- dation to the program co-chairs. In addition to the regular presentations, the technical program for ECSQARU 2003 also included talks by three distingu- hedinvitedspeakers:DidierDubois,PhilippeSmetsandJeroenVermunt.Didier Dubois and Jeroen Vermunt also contributed to this volume with papers on the subjects of their talks.

Intelligent Technologies for Information Analysis
Intelligent Technologies for Information Analysis

Author: Ning Zhong

Publisher: Springer Science & Business Media

Published: 2013-03-14

Total Pages: 724

ISBN-13: 3662079526

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Intelligent Information Technology (iiT) encompasses the theories and ap plications of artificial intelligence, statistical pattern recognition, learning theory, data warehousing, data mining and knowledge discovery, Grid com puting, and autonomous agents and multi-agent systems in the context of today's as well as future IT, such as Electronic Commerce (EC), Business Intelligence (BI), Social Intelligence (SI), Web Intelligence (WI), Knowledge Grid (KG), and Knowledge Community (KC), among others. The multi-author monograph presents the current state of the research and development in intelligent technologies for information analysis, in par ticular, advances in agents, data mining, and learning theory, from both the oretical and application aspects. It investigates the future of information technology (IT) from a new intelligent IT (iiT) perspective, and highlights major iiT-related topics by structuring an introductory chapter and 22 sur vey/research chapters into 5 parts: (1) emerging data mining technology, (2) data mining for Web intelligence, (3) emerging agent technology, ( 4) emerging soft computing technology, and (5) statistical learning theory. Each chapter includes the original work of the author(s) as well as a comprehensive survey related to the chapter's topic. This book will become a valuable source of reference for R&D profession als active in advanced intelligent information technologies. Students as well as IT professionals and ambitious practitioners concerned with advanced in telligent information technologies will appreciate the book as a useful text enhanced by numerous illustrations and examples.