Soft Computing For Information Processing And Analysis

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Soft Computing for Information Processing and Analysis

Masoud Nikravesh,Lofti A. Zadeh
Soft Computing for Information Processing and Analysis Book PDF

Author : Masoud Nikravesh,Lofti A. Zadeh
Publisher : Springer
Page : 461 pages
File Size : 46,5 Mb
Release : 2006-07-02
Category : Computers
ISBN : 9783540323655

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Soft Computing for Information Processing and Analysis by Masoud Nikravesh,Lofti A. Zadeh Pdf

Search engines, with Google at the top, have become the most heavily used online service, with millions of searches performed every day and many remarkable capabilities. Soft Computing for Information Processing and Analysis includes reports from the front of soft computing in the internet industry and imparts knowledge and understanding of the significance of the field's accomplishments, new developments and future directions. This carefully edited book has evolved from presentations made by the participants of a meeting entitled "Fuzzy Logic and the Internet: Enhancing the Power of the Internet", organized by the Berkeley Initiative in Soft Computing (BISC), University of California, Berkeley. It addresses the important topics of modern search engines such as fuzzy query, decision analysis and support systems, including articles about topics such as Web Intelligence, World Knowledge and Fuzzy Logic (by Lotfi A. Zadeh), perception based information processing, or web intelligence.

Cognitive and Soft Computing Techniques for the Analysis of Healthcare Data

Akash Kumar Bhoi,Victor Hugo Costa de Albuquerque,Parvathaneni Naga Srinivasu,Goncalo Marques
Cognitive and Soft Computing Techniques for the Analysis of Healthcare Data Book PDF

Author : Akash Kumar Bhoi,Victor Hugo Costa de Albuquerque,Parvathaneni Naga Srinivasu,Goncalo Marques
Publisher : Academic Press
Page : 296 pages
File Size : 42,7 Mb
Release : 2022-01-22
Category : Computers
ISBN : 9780323903486

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Cognitive and Soft Computing Techniques for the Analysis of Healthcare Data by Akash Kumar Bhoi,Victor Hugo Costa de Albuquerque,Parvathaneni Naga Srinivasu,Goncalo Marques Pdf

Cognitive and Soft Computing Techniques for the Analysis of Healthcare Data discusses the insight of data processing applications in various domains through soft computing techniques and enormous advancements in the field. The book focuses on the cross-disciplinary mechanisms and ground-breaking research ideas on novel techniques and data processing approaches in handling structured and unstructured healthcare data. It also gives insight into various information-processing models and many memories associated with it while processing the information for forecasting future trends and decision making. This book is an excellent resource for researchers and professionals who work in the Healthcare Industry, Data Science, and Machine learning. Focuses on data-centric operations in the Healthcare industry Provides the latest trends in healthcare data analytics and practical implementation outcomes of the proposed models Addresses real-time challenges and case studies in the Healthcare industry

Recent Developments and New Directions in Soft Computing

Lotfi A. Zadeh,Ali M. Abbasov,Ronald R. Yager,Shahnaz N. Shahbazova,Marek Z. Reformat
Recent Developments and New Directions in Soft Computing Book PDF

Author : Lotfi A. Zadeh,Ali M. Abbasov,Ronald R. Yager,Shahnaz N. Shahbazova,Marek Z. Reformat
Publisher : Springer
Page : 450 pages
File Size : 51,5 Mb
Release : 2014-06-17
Category : Technology & Engineering
ISBN : 9783319063232

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Recent Developments and New Directions in Soft Computing by Lotfi A. Zadeh,Ali M. Abbasov,Ronald R. Yager,Shahnaz N. Shahbazova,Marek Z. Reformat Pdf

The book reports on the latest advances and challenges of soft computing. It gathers original scientific contributions written by top scientists in the field and covering theories, methods and applications in a number of research areas related to soft-computing, such as decision-making, probabilistic reasoning, image processing, control, neural networks and data analysis.

Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations

Jesús Medina,Manuel Ojeda-Aciego,José Luis Verdegay,David A. Pelta,Inma P. Cabrera,Bernadette Bouchon-Meunier,Ronald R. Yager
Information Processing and Management of Uncertainty in Knowledge Based Systems Theory and Foundations Book PDF

Author : Jesús Medina,Manuel Ojeda-Aciego,José Luis Verdegay,David A. Pelta,Inma P. Cabrera,Bernadette Bouchon-Meunier,Ronald R. Yager
Publisher : Springer
Page : 0 pages
File Size : 54,5 Mb
Release : 2018-05-18
Category : Computers
ISBN : 3319914723

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Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations by Jesús Medina,Manuel Ojeda-Aciego,José Luis Verdegay,David A. Pelta,Inma P. Cabrera,Bernadette Bouchon-Meunier,Ronald R. Yager Pdf

This three volume set (CCIS 853-855) constitutes the proceedings of the 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2017, held in Cádiz, Spain, in June 2018. The 193 revised full papers were carefully reviewed and selected from 383 submissions. The papers are organized in topical sections on advances on explainable artificial intelligence; aggregation operators, fuzzy metrics and applications; belief function theory and its applications; current techniques to model, process and describe time series; discrete models and computational intelligence; formal concept analysis and uncertainty; fuzzy implication functions; fuzzy logic and artificial intelligence problems; fuzzy mathematical analysis and applications; fuzzy methods in data mining and knowledge discovery; fuzzy transforms: theory and applications to data analysis and image processing; imprecise probabilities: foundations and applications; mathematical fuzzy logic, mathematical morphology; measures of comparison and entropies for fuzzy sets and their extensions; new trends in data aggregation; pre-aggregation functions and generalized forms of monotonicity; rough and fuzzy similarity modelling tools; soft computing for decision making in uncertainty; soft computing in information retrieval and sentiment analysis; tri-partitions and uncertainty; decision making modeling and applications; logical methods in mining knowledge from big data; metaheuristics and machine learning; optimization models for modern analytics; uncertainty in medicine; uncertainty in Video/Image Processing (UVIP).

Soft Computing for Image and Multimedia Data Processing

Siddhartha Bhattacharyya,Ujjwal Maulik
Soft Computing for Image and Multimedia Data Processing Book PDF

Author : Siddhartha Bhattacharyya,Ujjwal Maulik
Publisher : Springer Science & Business Media
Page : 278 pages
File Size : 54,5 Mb
Release : 2013-10-04
Category : Computers
ISBN : 9783642402555

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Soft Computing for Image and Multimedia Data Processing by Siddhartha Bhattacharyya,Ujjwal Maulik Pdf

Proper analysis of image and multimedia data requires efficient extraction and segmentation techniques. Among the many computational intelligence approaches, the soft computing paradigm is best equipped with several tools and techniques that incorporate intelligent concepts and principles. This book is dedicated to object extraction, image segmentation, and edge detection using soft computing techniques with extensive real-life application to image and multimedia data. The authors start with a comprehensive tutorial on the basics of brain structure and learning, and then the key soft computing techniques, including evolutionary computation, neural networks, fuzzy sets and fuzzy logic, and rough sets. They then present seven chapters that detail the application of representative techniques to complex image processing tasks such as image recognition, lighting control, target tracking, object extraction, and edge detection. These chapters follow a structured approach with detailed explanations of the problems, solutions, results, and conclusions. This is both a standalone textbook for graduates in computer science, electrical engineering, system science, and information technology, and a reference for researchers and engineers engaged with pattern recognition, image processing, and soft computing.

Functional Analysis of Information Processing

Grayce M. Booth
Functional Analysis of Information Processing Book PDF

Author : Grayce M. Booth
Publisher : Wiley-Interscience
Page : 298 pages
File Size : 53,7 Mb
Release : 1973
Category : Computers
ISBN : UCAL:B4248898

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Functional Analysis of Information Processing by Grayce M. Booth Pdf

"This book is intended to aid the information system analyst, designer, or programmer in the analysis of complex computer systems” -- Preface.

Fifty Years of Fuzzy Logic and its Applications

Dan E. Tamir,Naphtali D. Rishe,Abraham Kandel
Fifty Years of Fuzzy Logic and its Applications Book PDF

Author : Dan E. Tamir,Naphtali D. Rishe,Abraham Kandel
Publisher : Springer
Page : 684 pages
File Size : 52,9 Mb
Release : 2015-05-23
Category : Technology & Engineering
ISBN : 9783319196831

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Fifty Years of Fuzzy Logic and its Applications by Dan E. Tamir,Naphtali D. Rishe,Abraham Kandel Pdf

This book presents a comprehensive report on the evolution of Fuzzy Logic since its formulation in Lotfi Zadeh’s seminal paper on “fuzzy sets,” published in 1965. In addition, it features a stimulating sampling from the broad field of research and development inspired by Zadeh’s paper. The chapters, written by pioneers and prominent scholars in the field, show how fuzzy sets have been successfully applied to artificial intelligence, control theory, inference, and reasoning. The book also reports on theoretical issues; features recent applications of Fuzzy Logic in the fields of neural networks, clustering, data mining and software testing; and highlights an important paradigm shift caused by Fuzzy Logic in the area of uncertainty management. Conceived by the editors as an academic celebration of the fifty years’ anniversary of the 1965 paper, this work is a must-have for students and researchers willing to get an inspiring picture of the potentialities, limitations, achievements and accomplishments of Fuzzy Logic-based systems.

Knowledge Incorporation in Evolutionary Computation

Yaochu Jin
Knowledge Incorporation in Evolutionary Computation Book PDF

Author : Yaochu Jin
Publisher : Springer
Page : 543 pages
File Size : 48,5 Mb
Release : 2013-04-22
Category : Mathematics
ISBN : 9783540445111

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Knowledge Incorporation in Evolutionary Computation by Yaochu Jin Pdf

Incorporation of a priori knowledge, such as expert knowledge, meta-heuristics and human preferences, as well as domain knowledge acquired during evolu tionary search, into evolutionary algorithms has received increasing interest in the recent years. It has been shown from various motivations that knowl edge incorporation into evolutionary search is able to significantly improve search efficiency. However, results on knowledge incorporation in evolution ary computation have been scattered in a wide range of research areas and a systematic handling of this important topic in evolutionary computation still lacks. This edited book is a first attempt to put together the state-of-art and re cent advances on knowledge incorporation in evolutionary computation within a unified framework. Existing methods for knowledge incorporation are di vided into the following five categories according to the functionality of the incorporated knowledge in the evolutionary algorithms. 1. Knowledge incorporation in representation, population initialization, - combination and mutation. 2. Knowledge incorporation in selection and reproduction. 3. Knowledge incorporation in fitness evaluations. 4. Knowledge incorporation through life-time learning and human-computer interactions. 5. Incorporation of human preferences in multi-objective evolutionary com putation. The intended readers of this book are graduate students, researchers and practitioners in all fields of science and engineering who are interested in evolutionary computation. The book is divided into six parts. Part I contains one introductory chapter titled "A selected introduction to evolutionary computation" by Yao, which presents a concise but insightful introduction to evolutionary computation.

Intelligent Information Processing and Web Mining

Mieczyslaw A. Klopotek,Slawomir T. Wierzchon,Krzysztof Trojanowski
Intelligent Information Processing and Web Mining Book PDF

Author : Mieczyslaw A. Klopotek,Slawomir T. Wierzchon,Krzysztof Trojanowski
Publisher : Springer Science & Business Media
Page : 678 pages
File Size : 40,9 Mb
Release : 2006-05-28
Category : Computers
ISBN : 9783540323921

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Intelligent Information Processing and Web Mining by Mieczyslaw A. Klopotek,Slawomir T. Wierzchon,Krzysztof Trojanowski Pdf

The international conference Intelligent Information Processing and Web Mining IIS:IIPWM’05, organized in Gda?sk-Sobieszewo on 13–16th June, 2005, was a continuation of a long tradition of conferences on applications of Arti?cial Intelligence (AI) in Information Systems (IS), organized by the Institute of Computer Science of Polish Academy of Sciences in cooperation with other scienti?c and business institutions. The Institute itself is deeply engaged in research both in AI and IS and many scientists view it as a leading institution both in fundamental and - plied research in these areas in Poland. The originators of this conference series, Prof. M. D?browski and Dr. M. Michalewicz had in 1992 a long-term goal of bringing together scientists and industry of di?erent braches from Poland and abroad to achieve a creative synthesis. One can say that their dream has come to reality. Scientists from ?ve continents made their subm- sions to this conference. A brief look at the a?liations makes international cooperation visible. The research papers have either a motivation in c- crete applications or are o?-springs of some practical requests. This volume presents the best papers carefully chosen from a large set of submissions (about 45%). At this point we would like to express our thanks to the m- bers of Programme Committee for their excellent job. Also we are thankful to the organizers of the special sessions accompanying this conference: Jan Komorowski, Adam Przepiórkowski, Zbigniew W.

Soft Computing for Image Processing

Sankar K. Pal,Ashish Ghosh,Malay K. Kundu
Soft Computing for Image Processing Book PDF

Author : Sankar K. Pal,Ashish Ghosh,Malay K. Kundu
Publisher : Physica
Page : 600 pages
File Size : 44,5 Mb
Release : 2013-03-19
Category : Computers
ISBN : 9783790818581

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Soft Computing for Image Processing by Sankar K. Pal,Ashish Ghosh,Malay K. Kundu Pdf

Any task that involves decision-making can benefit from soft computing techniques which allow premature decisions to be deferred. The processing and analysis of images is no exception to this rule. In the classical image analysis paradigm, the first step is nearly always some sort of segmentation process in which the image is divided into (hopefully, meaningful) parts. It was pointed out nearly 30 years ago by Prewitt (1] that the decisions involved in image segmentation could be postponed by regarding the image parts as fuzzy, rather than crisp, subsets of the image. It was also realized very early that many basic properties of and operations on image subsets could be extended to fuzzy subsets; for example, the classic paper on fuzzy sets by Zadeh [2] discussed the "set algebra" of fuzzy sets (using sup for union and inf for intersection), and extended the defmition of convexity to fuzzy sets. These and similar ideas allowed many of the methods of image analysis to be generalized to fuzzy image parts. For are cent review on geometric description of fuzzy sets see, e. g. , [3]. Fuzzy methods are also valuable in image processing and coding, where learning processes can be important in choosing the parameters of filters, quantizers, etc.

New Opportunities for Sentiment Analysis and Information Processing

Sharaff, Aakanksha,Sinha, G. R.,Bhatia, Surbhi
New Opportunities for Sentiment Analysis and Information Processing Book PDF

Author : Sharaff, Aakanksha,Sinha, G. R.,Bhatia, Surbhi
Publisher : IGI Global
Page : 311 pages
File Size : 54,9 Mb
Release : 2021-06-25
Category : Computers
ISBN : 9781799880639

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New Opportunities for Sentiment Analysis and Information Processing by Sharaff, Aakanksha,Sinha, G. R.,Bhatia, Surbhi Pdf

Multinational organizations have begun to realize that sentiment mining plays an important role for decision making and market strategy. The revolutionary growth of digital marketing not only changes the market game, but also brings forth new opportunities for skilled professionals and expertise. Currently, the technologies are rapidly changing, and artificial intelligence (AI) and machine learning are contributing as game-changing technologies. These are not only trending but are also increasingly popular among data scientists and data analysts. New Opportunities for Sentiment Analysis and Information Processing provides interdisciplinary research in information retrieval and sentiment analysis including studies on extracting sentiments from textual data, sentiment visualization-based dimensionality reduction for multiple features, and deep learning-based multi-domain sentiment extraction. The book also optimizes techniques used for sentiment identification and examines applications of sentiment analysis and emotion detection. Covering such topics as communication networks, natural language processing, and semantic analysis, this book is essential for data scientists, data analysts, IT specialists, scientists, researchers, academicians, and students.

Intelligent Information Processing and Web Mining

Mieczyslaw A. Klopotek,Slawomir T. Wierzchon,Krzysztof Trojanowski
Intelligent Information Processing and Web Mining Book PDF

Author : Mieczyslaw A. Klopotek,Slawomir T. Wierzchon,Krzysztof Trojanowski
Publisher : Springer Science & Business Media
Page : 521 pages
File Size : 54,9 Mb
Release : 2007-07-04
Category : Computers
ISBN : 9783540335214

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Intelligent Information Processing and Web Mining by Mieczyslaw A. Klopotek,Slawomir T. Wierzchon,Krzysztof Trojanowski Pdf

This volume contains selected papers, presented at the international conference on Intelligent Information Processing and Web Mining Conference IIS:IIPWM'06, organized in Ustro (Poland), 2006. The submitted papers cover new computing paradigms, among others in biologically motivated methods, advanced data analysis, new machine learning paradigms, natural language processing, new optimization technologies, applied data mining using statistical and non-standard approaches.

Intelligent Multimedia Processing with Soft Computing

Yap Peng Tan,Kim-Hui Yap,Lipo Wang
Intelligent Multimedia Processing with Soft Computing Book PDF

Author : Yap Peng Tan,Kim-Hui Yap,Lipo Wang
Publisher : Springer
Page : 474 pages
File Size : 46,5 Mb
Release : 2006-09-15
Category : Computers
ISBN : 9783540323679

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Intelligent Multimedia Processing with Soft Computing by Yap Peng Tan,Kim-Hui Yap,Lipo Wang Pdf

Soft computing represents a collection of techniques, such as neural networks, evolutionary computation, fuzzy logic, and probabilistic reasoning. As - posed to conventional "hard" computing, these techniques tolerate impre- sion and uncertainty, similar to human beings. In the recent years, successful applications of these powerful methods have been published in many dis- plines in numerous journals, conferences, as well as the excellent books in this book series on Studies in Fuzziness and Soft Computing. This volume is dedicated to recent novel applications of soft computing in multimedia processing. The book is composed of 21 chapters written by experts in their respective fields, addressing various important and timely problems in multimedia computing such as content analysis, indexing and retrieval, recognition and compression, processing and filtering, etc. In the chapter authored by Guan, Muneesawang, Lay, Amin, and Lee, a radial basis function network with Laplacian mixture model is employed to perform image and video retrieval. D. Androutsos, P. Androutsos, Plataniotis, and Venetsanopoulos investigate color image indexing and retrieval within a small-world framework. Wu and Yap develop a framework of fuzzy relevance feedback to model the uncertainty of users' subjective perception in image retrieval.

Soft Computing Based Medical Image Analysis

Nilanjan Dey,Amira Ashour,Fuquian Shi,Valentina E. Balas
Soft Computing Based Medical Image Analysis Book PDF

Author : Nilanjan Dey,Amira Ashour,Fuquian Shi,Valentina E. Balas
Publisher : Academic Press
Page : 292 pages
File Size : 49,7 Mb
Release : 2018-01-18
Category : Technology & Engineering
ISBN : 9780128131749

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Soft Computing Based Medical Image Analysis by Nilanjan Dey,Amira Ashour,Fuquian Shi,Valentina E. Balas Pdf

Soft Computing Based Medical Image Analysis presents the foremost techniques of soft computing in medical image analysis and processing. It includes image enhancement, segmentation, classification-based soft computing, and their application in diagnostic imaging, as well as an extensive background for the development of intelligent systems based on soft computing used in medical image analysis and processing. The book introduces the theory and concepts of digital image analysis and processing based on soft computing with real-world medical imaging applications. Comparative studies for soft computing based medical imaging techniques and traditional approaches in medicine are addressed, providing flexible and sophisticated application-oriented solutions. Covers numerous soft computing approaches, including fuzzy logic, neural networks, evolutionary computing, rough sets and Swarm intelligence Presents transverse research in soft computing formation from various engineering and industrial sectors in the medical domain Highlights challenges and the future scope for soft computing based medical analysis and processing techniques

Information Processing and Management of Uncertainty

Anne Laurent,Olivier Strauss,Bernadette Bouchon-Meunier,Ronald R. Yager
Information Processing and Management of Uncertainty Book PDF

Author : Anne Laurent,Olivier Strauss,Bernadette Bouchon-Meunier,Ronald R. Yager
Publisher : Springer
Page : 631 pages
File Size : 55,5 Mb
Release : 2014-07-17
Category : Computers
ISBN : 9783319088556

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Information Processing and Management of Uncertainty by Anne Laurent,Olivier Strauss,Bernadette Bouchon-Meunier,Ronald R. Yager Pdf

These three volumes (CCIS 442, 443, 444) constitute the proceedings of the 15th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2014, held in Montpellier, France, July 15-19, 2014. The 180 revised full papers presented together with five invited talks were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on uncertainty and imprecision on the web of data; decision support and uncertainty management in agri-environment; fuzzy implications; clustering; fuzzy measures and integrals; non-classical logics; data analysis; real-world applications; aggregation; probabilistic networks; recommendation systems and social networks; fuzzy systems; fuzzy logic in boolean framework; management of uncertainty in social networks; from different to same, from imitation to analogy; soft computing and sensory analysis; database systems; fuzzy set theory; measurement and sensory information; aggregation; formal methods for vagueness and uncertainty in a many-valued realm; graduality; preferences; uncertainty management in machine learning; philosophy and history of soft computing; soft computing and sensory analysis; similarity analysis; fuzzy logic, formal concept analysis and rough set; intelligent databases and information systems; theory of evidence; aggregation functions; big data - the role of fuzzy methods; imprecise probabilities: from foundations to applications; multinomial logistic regression on Markov chains for crop rotation modelling; intelligent measurement and control for nonlinear systems.