Rough Set Based Classification Systems

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Rough Set–Based Classification Systems

Author : Robert K. Nowicki
Publisher : Springer
ISBN 13 : 3030038955
Total Pages : 198 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Rough Set–Based Classification Systems by : Robert K. Nowicki

Download or read book Rough Set–Based Classification Systems written by Robert K. Nowicki and published by Springer. This book was released on 2018-12-17 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book demonstrates an original concept for implementing the rough set theory in the construction of decision-making systems. It addresses three types of decisions, including those in which the information or input data is insufficient. Though decision-making and classification in cases with missing or inaccurate data is a common task, classical decision-making systems are not naturally adapted to it. One solution is to apply the rough set theory proposed by Prof. Pawlak. The proposed classifiers are applied and tested in two configurations: The first is an iterative mode in which a single classification system requests completion of the input data until an unequivocal decision (classification) is obtained. It allows us to start classification processes using very limited input data and supplementing it only as needed, which limits the cost of obtaining data. The second configuration is an ensemble mode in which several rough set-based classification systems achieve the unequivocal decision collectively, even though the systems cannot separately deliver such results.

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.

Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications

Author : Muhammad Summair Raza
Publisher : Springer Nature
ISBN 13 : 9813291664
Total Pages : 243 pages
Book Rating : 4.8/5 (132 download)

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Book Synopsis Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications by : Muhammad Summair Raza

Download or read book Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications written by Muhammad Summair Raza and published by Springer Nature. This book was released on 2019-08-23 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive introduction to rough set-based feature selection. Rough set theory, first proposed by Zdzislaw Pawlak in 1982, continues to evolve. Concerned with the classification and analysis of imprecise or uncertain information and knowledge, it has become a prominent tool for data analysis, and enables the reader to systematically study all topics in rough set theory (RST) including preliminaries, advanced concepts, and feature selection using RST. The book is supplemented with an RST-based API library that can be used to implement several RST concepts and RST-based feature selection algorithms. The book provides an essential reference guide for students, researchers, and developers working in the areas of feature selection, knowledge discovery, and reasoning with uncertainty, especially those who are working in RST and granular computing. The primary audience of this book is the research community using rough set theory (RST) to perform feature selection (FS) on large-scale datasets in various domains. However, any community interested in feature selection such as medical, banking, and finance can also benefit from the book. This second edition also covers the dominance-based rough set approach and fuzzy rough sets. The dominance-based rough set approach (DRSA) is an extension of the conventional rough set approach and supports the preference order using the dominance principle. In turn, fuzzy rough sets are fuzzy generalizations of rough sets. An API library for the DRSA is also provided with the second edition of the book.

Data Science and Knowledge Engineering for Sensing Decision Support

Author : Jun Liu
Publisher : World Scientific Proceedings C
ISBN 13 : 9789813273221
Total Pages : 0 pages
Book Rating : 4.2/5 (732 download)

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Book Synopsis Data Science and Knowledge Engineering for Sensing Decision Support by : Jun Liu

Download or read book Data Science and Knowledge Engineering for Sensing Decision Support written by Jun Liu and published by World Scientific Proceedings C. This book was released on 2018 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to include Computational Intelligence for applied research. The contributions of the FLINS conference cover state-of-the-art research, development, and technology for computational intelligence systems, with special focuses on data science and knowledge engineering for sensing decision support, both from the foundations and the applications points-of-view.

Transactions on Rough Sets XVII

Author : James F. Peters
Publisher : Springer
ISBN 13 : 3642547567
Total Pages : 301 pages
Book Rating : 4.6/5 (425 download)

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

Download or read book Transactions on Rough Sets XVII written by James F. Peters and published by Springer. This book was released on 2014-03-03 with total page 301 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 XVII is a continuation of a number of research streams which have grown out of the seminal work by Zdzislaw Pawlak during the first decade of the 21st century. The research streams represented in the papers cover both theory and applications of rough, fuzzy and near sets as well as their combinations.

Transactions on Rough Sets XIV

Author : Hiroshi Sakai
Publisher : Springer Science & Business Media
ISBN 13 : 3642215629
Total Pages : 241 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Transactions on Rough Sets XIV by : Hiroshi Sakai

Download or read book Transactions on Rough Sets XIV written by Hiroshi Sakai and published by Springer Science & Business Media. This book was released on 2011-07-05 with total page 241 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 XIV contains 11 revised extended papers from the 12th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, RSFDGrC 2009, held in Delhi, India. The topics include various rough set generalizations in combination with formal concept analysis, lattice theory, fuzzy sets and belief functions, rough and fuzzy clustering techniques, as well as applications to gene selection, web page recommendation systems, facial recognition, and temporal pattern detection. in addition, this volume contains a regular article on rough multiset and its multiset topology.

Incomplete Information: Rough Set Analysis

Author : Ewa Orlowska
Publisher : Physica
ISBN 13 : 3790818887
Total Pages : 615 pages
Book Rating : 4.7/5 (98 download)

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Book Synopsis Incomplete Information: Rough Set Analysis by : Ewa Orlowska

Download or read book Incomplete Information: Rough Set Analysis written by Ewa Orlowska and published by Physica. This book was released on 2013-03-14 with total page 615 pages. Available in PDF, EPUB and Kindle. Book excerpt: In 1982, Professor Pawlak published his seminal paper on what he called "rough sets" - a work which opened a new direction in the development of theories of incomplete information. Today, a decade and a half later, the theory of rough sets has evolved into a far-reaching methodology for dealing with a wide variety of issues centering on incompleteness and imprecision of information - issues which playa key role in the conception and design of intelligent information systems. "Incomplete Information: Rough Set Analysis" - or RSA for short - presents an up-to-date and highly authoritative account of the current status of the basic theory, its many extensions and wide-ranging applications. Edited by Professor Ewa Orlowska, one of the leading contributors to the theory of rough sets, RSA is a collection of nineteen well-integrated chapters authored by experts in rough set theory and related fields. A common thread that runs through these chapters ties the concept of incompleteness of information to those of indiscernibility and similarity.

Perception-Based Data Processing in Acoustics

Author : Bozena Kostek
Publisher : Springer Science & Business Media
ISBN 13 : 9783540257295
Total Pages : 440 pages
Book Rating : 4.2/5 (572 download)

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Book Synopsis Perception-Based Data Processing in Acoustics by : Bozena Kostek

Download or read book Perception-Based Data Processing in Acoustics written by Bozena Kostek and published by Springer Science & Business Media. This book was released on 2005-08-19 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph provides novel insights into cognitive mechanisms underlying the processing of sound and music in different environments. A solid understanding of these mechanisms is vital for numerous technological applications such as for example information retrieval from distributed musical databases or building expert systems. In order to investigate the cognitive mechanisms of music perception fundamentals of hearing psychophysiology and principles of music perception are presented. In addition, some computational intelligence methods are reviewed, such as rough sets, fuzzy logic, artificial neural networks, decision trees and genetic algorithms. The applications of hybrid decision systems to problem solving in music and acoustics are exemplified and discussed on the basis of obtained experimental results.

Transactions on Rough Sets III

Author : James F. Peters
Publisher : Springer Science & Business Media
ISBN 13 : 3540259988
Total Pages : 468 pages
Book Rating : 4.5/5 (42 download)

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

Download or read book Transactions on Rough Sets III written by James F. Peters and published by Springer Science & Business Media. This book was released on 2005-05-17 with total page 468 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. This third volume of the Transactions on Rough Sets presents 11 revised papers that have been through a careful peer reviewing process by the journal's Editorial Board. The research monograph "Time Complexity of Decision Trees" by Mikhail Ju. Moshkov is presented in the section on dissertation and monographs. Among the regular papers the one by Zdzislaw Pawlak entitled "Flow Graphs and Data Mining" deserves a special mention.

Big Data Preprocessing

Author : Julián Luengo
Publisher : Springer Nature
ISBN 13 : 3030391051
Total Pages : 193 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Big Data Preprocessing by : Julián Luengo

Download or read book Big Data Preprocessing written by Julián Luengo and published by Springer Nature. This book was released on 2020-03-16 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a comprehensible overview of Big Data Preprocessing, which includes a formal description of each problem. It also focuses on the most relevant proposed solutions. This book illustrates actual implementations of algorithms that helps the reader deal with these problems. This book stresses the gap that exists between big, raw data and the requirements of quality data that businesses are demanding. This is called Smart Data, and to achieve Smart Data the preprocessing is a key step, where the imperfections, integration tasks and other processes are carried out to eliminate superfluous information. The authors present the concept of Smart Data through data preprocessing in Big Data scenarios and connect it with the emerging paradigms of IoT and edge computing, where the end points generate Smart Data without completely relying on the cloud. Finally, this book provides some novel areas of study that are gathering a deeper attention on the Big Data preprocessing. Specifically, it considers the relation with Deep Learning (as of a technique that also relies in large volumes of data), the difficulty of finding the appropriate selection and concatenation of preprocessing techniques applied and some other open problems. Practitioners and data scientists who work in this field, and want to introduce themselves to preprocessing in large data volume scenarios will want to purchase this book. Researchers that work in this field, who want to know which algorithms are currently implemented to help their investigations, may also be interested in this book.

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

Author : Guoyin Wang
Publisher : Springer
ISBN 13 : 354039205X
Total Pages : 758 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 758 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.

Transactions on Rough Sets IX

Author : Henryk Rybinski
Publisher : Springer
ISBN 13 : 354089876X
Total Pages : 760 pages
Book Rating : 4.5/5 (48 download)

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Book Synopsis Transactions on Rough Sets IX by : Henryk Rybinski

Download or read book Transactions on Rough Sets IX written by Henryk Rybinski and published by Springer. This book was released on 2008-12-18 with total page 760 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the ninth volume of the Transactions on Rough Sets series. The 26 papers in it introduce new advances in the foundations and applications of artificial intelligence, engineering, image processing, logic, mathematics, medicine, music, and science.

Handbook of Research on Modeling, Analysis, and Control of Complex Systems

Author : Azar, Ahmad Taher
Publisher : IGI Global
ISBN 13 : 1799857905
Total Pages : 685 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Handbook of Research on Modeling, Analysis, and Control of Complex Systems by : Azar, Ahmad Taher

Download or read book Handbook of Research on Modeling, Analysis, and Control of Complex Systems written by Azar, Ahmad Taher and published by IGI Global. This book was released on 2020-12-05 with total page 685 pages. Available in PDF, EPUB and Kindle. Book excerpt: The current literature on dynamic systems is quite comprehensive, and system theory’s mathematical jargon can remain quite complicated. Thus, there is a need for a compendium of accessible research that involves the broad range of fields that dynamic systems can cover, including engineering, life sciences, and the environment, and which can connect researchers in these fields. The Handbook of Research on Modeling, Analysis, and Control of Complex Systems is a comprehensive reference book that describes the recent developments in a wide range of areas including the modeling, analysis, and control of dynamic systems, as well as explores related applications. The book acts as a forum for researchers seeking to understand the latest theory findings and software problem experiments. Covering topics that include chaotic maps, predictive modeling, random bit generation, and software bug prediction, this book is ideal for professionals, academicians, researchers, and students in the fields of electrical engineering, computer science, control engineering, robotics, power systems, and biomedical engineering.

Rough Sets and Current Trends in Computing

Author : James J. Alpigini
Publisher : Springer
ISBN 13 : 3540458131
Total Pages : 654 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Rough Sets and Current Trends in Computing by : James J. Alpigini

Download or read book Rough Sets and Current Trends in Computing written by James J. Alpigini and published by Springer. This book was released on 2003-08-03 with total page 654 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 Current Trends in Computing (RSCTC 2002) held at Penn State Great Valley, Malvern, Pennsylvania, U.S.A., 14–16 October 2002. Rough set theoryand its applications constitute a branch of soft computing that has exhibited a signi?cant growth rate during recent years. RSCTC 2002 provided a forum for exchanging ideas among manyresearchers in the rough set communityand in various areas of soft computing and served as a stimulus for mutual understanding and cooperation. In recent years, there have been a number of advances in rough set theoryand applications. Hence, we have witnessed a growing number of international workshops on rough sets and their applications. In addition, it should be observed that one of the beauties of rough sets and the rough set philosophyis that it tends to complement and reinforce research in manytraditional research areas and applications. This is the main reason that manyinternational conferences are now including rough sets into the list of topics.

Rough Sets in Knowledge Discovery 2

Author : Lech Polkowski
Publisher : Physica
ISBN 13 : 3790818836
Total Pages : 605 pages
Book Rating : 4.7/5 (98 download)

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Book Synopsis Rough Sets in Knowledge Discovery 2 by : Lech Polkowski

Download or read book Rough Sets in Knowledge Discovery 2 written by Lech Polkowski and published by Physica. This book was released on 2013-03-14 with total page 605 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Intelligent Decision Support

Author : Shi-Yu Huang
Publisher : Springer
ISBN 13 : 9789048141944
Total Pages : 0 pages
Book Rating : 4.1/5 (419 download)

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Book Synopsis Intelligent Decision Support by : Shi-Yu Huang

Download or read book Intelligent Decision Support written by Shi-Yu Huang and published by Springer. This book was released on 2010-12-15 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent decision support is based on human knowledge related to a specific part of a real or abstract world. When the knowledge is gained by experience, it is induced from empirical data. The data structure, called an information system, is a record of objects described by a set of attributes. Knowledge is understood here as an ability to classify objects. Objects being in the same class are indiscernible by means of attributes and form elementary building blocks (granules, atoms). In particular, the granularity of knowledge causes that some notions cannot be expressed precisely within available knowledge and can be defined only vaguely. In the rough sets theory created by Z. Pawlak each imprecise concept is replaced by a pair of precise concepts called its lower and upper approximation. These approximations are fundamental tools and reasoning about knowledge. The rough sets philosophy turned out to be a very effective, new tool with many successful real-life applications to its credit. It is worthwhile stressing that no auxiliary assumptions are needed about data, like probability or membership function values, which is its great advantage. The present book reveals a wide spectrum of applications of the rough set concept, giving the reader the flavor of, and insight into, the methodology of the newly developed disciplines. Although the book emphasizes applications, comparison with other related methods and further developments receive due attention.

Clustering High--Dimensional Data

Author : Francesco Masulli
Publisher : Springer
ISBN 13 : 366248577X
Total Pages : 157 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis Clustering High--Dimensional Data by : Francesco Masulli

Download or read book Clustering High--Dimensional Data written by Francesco Masulli and published by Springer. This book was released on 2015-11-24 with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the International Workshop on Clustering High-Dimensional Data, CHDD 2012, held in Naples, Italy, in May 2012. The 9 papers presented in this volume were carefully reviewed and selected from 15 submissions. They deal with the general subject and issues of high-dimensional data clustering; present examples of techniques used to find and investigate clusters in high dimensionality; and the most common approach to tackle dimensionality problems, namely, dimensionality reduction and its application in clustering.