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Soft Computing In Case Based Reasoning
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Book Synopsis Soft Computing in Case Based Reasoning by : Sankar Kumar Pal
Download or read book Soft Computing in Case Based Reasoning written by Sankar Kumar Pal and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text demonstrates how various soft computing tools can be applied to design and develop methodologies and systems with case based reasoning, that is, for real-life decision-making or recognition problems. Comprising contributions from experts, it introduces the basic concepts and theories, and includes many reports on real-life applications. This book is of interest to graduate students and researchers in computer science, electrical engineering and information technology, as well as researchers and practitioners from the fields of systems design, pattern recognition and data mining.
Book Synopsis Foundations of Soft Case-Based Reasoning by : Sankar K. Pal
Download or read book Foundations of Soft Case-Based Reasoning written by Sankar K. Pal and published by John Wiley & Sons. This book was released on 2004-07-01 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides a self-contained description of this important aspect of information processing and decision support technology. Presents basic definitions, principles, applications, and a detailed bibliography. Covers a range of real-world examples including control, data mining, and pattern recognition.
Book Synopsis Case-based Reasoning by : Beatriz López
Download or read book Case-based Reasoning written by Beatriz López and published by Morgan & Claypool Publishers. This book was released on 2013 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: Case-based reasoning is a methodology with a long tradition in artificial intelligence that brings together reasoning and machine learning techniques to solve problems based on past experiences or cases. Given a problem to be solved, reasoning involves the use of methods to retrieve similar past cases in order to reuse their solution for the problem at hand. Once the problem has been solved, learning methods can be applied to improve the knowledge based on past experiences. In spite of being a broad methodology applied in industry and services, case-based reasoning has often been forgotten in both artificial intelligence and machine learning books. The aim of this book is to present a concise introduction to case-based reasoning providing the essential building blocks for the designing of case-based reasoning systems, as well as to bring together the main research lines in this field to encourage students to solve current CBR challenges.
Book Synopsis Case-Based Reasoning by : Michael M. Richter
Download or read book Case-Based Reasoning written by Michael M. Richter and published by Springer Science & Business Media. This book was released on 2013-10-31 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents case-based reasoning in a systematic approach with two goals: to present rigorous and formally valid structures for precise case-based reasoning, and to demonstrate the range of techniques, methods, and tools available for many applications.
Book Synopsis Soft Computing Approach to Pattern Recognition and Image Processing by : Ashish Ghosh
Download or read book Soft Computing Approach to Pattern Recognition and Image Processing written by Ashish Ghosh and published by World Scientific. This book was released on 2002 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume provides a collection of sixteen articles containing review and new material. In a unified way, they describe the recent development of theories and methodologies in pattern recognition, image processing and vision using fuzzy logic, artificial neural networks, genetic algorithms, rough sets and wavelets with significant real life applications. The book details the theory of granular computing and the role of a rough-neuro approach as a way of computing with words and designing intelligent recognition systems. It also demonstrates applications of the soft computing paradigm to case based reasoning, data mining and bio-informatics with a scope for future research. The contributors from around the world present a balanced mixture of current theory, algorithms and applications, making the book an extremely useful resource for students and researchers alike. Contents: Pattern Recognition: Multiple Classifier Systems; Building Decision Trees from the Fourier Spectrum of a Tree Ensemble; Clustering Large Data Sets; Multi-objective Variable String Genetic Classifier: Application to Remote Sensing Imagery; Image Processing and Vision: Dissimilarity Measures Between Fuzzy Sets or Fuzzy Structures; Early Vision: Concepts and Algorithms; Self-organizing Neural Network for Multi-level Image Segmentation; Geometric Transformation by Moment Method with Wavelet Matrix; New Computationally Efficient Algorithms for Video Coding; Soft Computing for Computational Media Aesthetics: Analyzing Video Content for Meaning; Granular Computing and Case Based Reasoning: Towards Granular Multi-agent Systems; Granular Computing and Pattern Recognition; Case Base Maintenance: A Soft Computing Perspective; Real Life Applications: Autoassociative Neural Network Models for Pattern Recognition Tasks in Speech and Image; Protein Structure Prediction Using Soft Computing; Pattern Classification for Biological Data Mining. Readership: Upper level undergraduates, graduates, researchers, academics and industrialists.
Book Synopsis Case-Based Reasoning Research and Development by : Kevin D. Ashley
Download or read book Case-Based Reasoning Research and Development written by Kevin D. Ashley and published by Springer. This book was released on 2003-08-03 with total page 749 pages. Available in PDF, EPUB and Kindle. Book excerpt: The refereed proceedings of the 5th International Conference on Case-Based Reasoning, ICCBR 2003, held in Trondheim, Norway, in June 2003. The 51 revised full papers presented were carefully reviewed and selected from 92 submissions. All current aspects of CBR are addressed including case representation, similarity retrieval, adaptation, case library maintenance, multi-agent collaborative systems, data mining, soft computing, recommender systems, knowledge management, legal reasoning, software reuse, and music.
Book Synopsis A Neural Network Approach to Case-based Reasoning by : Julie Michelle Main
Download or read book A Neural Network Approach to Case-based Reasoning written by Julie Michelle Main and published by . This book was released on 2004 with total page 678 pages. Available in PDF, EPUB and Kindle. Book excerpt: It particularly looks at soft computing techniques such as fuzzy logic and artificial neural networks. It proposes neuro-fuzzy techniques for the retrieval of cases from a case base and for the adaptation of retrieved cases for a current problem case. In addition to its focus on the elimination of manual knowledge acquisition, this thesis focuses on examining techniques that are generally applicable to a broad range of case-based reasoning problems, but especially to design problems. In the final part of this thesis, a case-based reasoning problem domain is discussed and the neuro-fuzzy approaches proposed in the main body of the thesis are applied to this problem. The demonstration domain is the design of fashion footwear.
Book Synopsis Soft Computing Approach Pattern Recognition And Image Processing by : Ashish Ghosh
Download or read book Soft Computing Approach Pattern Recognition And Image Processing written by Ashish Ghosh and published by World Scientific. This book was released on 2002-11-25 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume provides a collection of sixteen articles containing review and new material. In a unified way, they describe the recent development of theories and methodologies in pattern recognition, image processing and vision using fuzzy logic, artificial neural networks, genetic algorithms, rough sets and wavelets with significant real life applications.The book details the theory of granular computing and the role of a rough-neuro approach as a way of computing with words and designing intelligent recognition systems. It also demonstrates applications of the soft computing paradigm to case based reasoning, data mining and bio-informatics with a scope for future research.The contributors from around the world present a balanced mixture of current theory, algorithms and applications, making the book an extremely useful resource for students and researchers alike.
Book Synopsis Case-Based Reasoning Technology by : Mario Lenz
Download or read book Case-Based Reasoning Technology written by Mario Lenz and published by Springer. This book was released on 2003-05-20 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: This state-of-the-art survey presents a coherent summary of research and development in case-based reasoning (CBR) undertaken in Germany in recent years. The book opens with a general introduction to CBR presenting the basic ideas and concepts, setting the terminology, and looking at CBR from some new points of view. The main part of the book, consisting of nine chapters, is devoted to detailed presentations of CBR applications successfully performed in various areas. Among these application areas are decision and sales support, text processing, adaptation, planning, design, software engineering, tutoring systems, and medicine. The remaining chapters present areas related to CBR as well as a glossary, a subject index and bibliography.
Book Synopsis Soft Computing Approach to Pattern Recognition and Image Processing by : Ashish Ghosh
Download or read book Soft Computing Approach to Pattern Recognition and Image Processing written by Ashish Ghosh and published by World Scientific. This book was released on 2002 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume provides a collection of sixteen articles containing review and new material. In a unified way, they describe the recent development of theories and methodologies in pattern recognition, image processing and vision using fuzzy logic, artificial neural networks, genetic algorithms, rough sets and wavelets with significant real life applications.The book details the theory of granular computing and the role of a rough-neuro approach as a way of computing with words and designing intelligent recognition systems. It also demonstrates applications of the soft computing paradigm to case based reasoning, data mining and bio-informatics with a scope for future research.The contributors from around the world present a balanced mixture of current theory, algorithms and applications, making the book an extremely useful resource for students and researchers alike.
Book Synopsis Advances in Case-Based Reasoning by : Peter Funk
Download or read book Advances in Case-Based Reasoning written by Peter Funk and published by Springer Science & Business Media. This book was released on 2004-08-19 with total page 835 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 7th European Conference on Case-Based Reasoning, ECCBR 2004, held in Madrid, Spain in August/September 2004. The 56 revised full papers presented together with an invited paper and the abstract of an invited talk were carefully reviewed and selected from 85 submissions. All current issues in case-based reasoning, ranging from theoretical and methodological issues to advanced applications in various fields are addressed.
Book Synopsis Case-Based Reasoning by : Beatriz Whiteson
Download or read book Case-Based Reasoning written by Beatriz Whiteson and published by Springer Nature. This book was released on 2022-05-31 with total page 87 pages. Available in PDF, EPUB and Kindle. Book excerpt: Case-based reasoning is a methodology with a long tradition in artificial intelligence that brings together reasoning and machine learning techniques to solve problems based on past experiences or cases. Given a problem to be solved, reasoning involves the use of methods to retrieve similar past cases in order to reuse their solution for the problem at hand. Once the problem has been solved, learning methods can be applied to improve the knowledge based on past experiences. In spite of being a broad methodology applied in industry and services, case-based reasoning has often been forgotten in both artificial intelligence and machine learning books. The aim of this book is to present a concise introduction to case-based reasoning providing the essential building blocks for the design of case-based reasoning systems, as well as to bring together the main research lines in this field to encourage students to solve current CBR challenges.
Book Synopsis Case-Based Reasoning Research and Development by : Ian Watson
Download or read book Case-Based Reasoning Research and Development written by Ian Watson and published by Springer Nature. This book was released on 2020-10-03 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 28th International Conference on Case-Based Reasoning Research and Development, ICCBR 2020, held in Salamanca, Spain*, in June 2020. The 20 full papers and 2 short papers presented in this book were carefully reviewed and selected from 64 submissions. The theme of ICCBR 2020, “CBR Across Bridges” was highlighted by several activities. These papers, which are included in the proceedings, address many themes related to the theory and application of case-based reasoning and its future direction. *The conference was held virtually due to the COVID-19 pandemic.
Book Synopsis Soft Computing in Information Communication Technology by : Jia Luo
Download or read book Soft Computing in Information Communication Technology written by Jia Luo and published by Springer Science & Business Media. This book was released on 2012-06-30 with total page 511 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a collection of the accepted papers concerning soft computing in information communication technology. All accepted papers are subjected to strict peer-reviewing by 2 expert referees. The resultant dissemination of the latest research results, and the exchanges of views concerning the future research directions to be taken in this field makes the work of immense value to all those having an interest in the topics covered. The present book represents a cooperative effort to seek out the best strategies for effecting improvements in the quality and the reliability of Neural Networks, Swarm Intelligence, Evolutionary Computing, Image Processing Internet Security, Data Security, Data Mining, Network Security and Protection of data and Cyber laws. Our sincere appreciation and thanks go to these authors for their contributions to this conference. I hope you can gain lots of useful information from the book.
Book Synopsis Successful Case-based Reasoning Applications by : Stefania Montani
Download or read book Successful Case-based Reasoning Applications written by Stefania Montani and published by Springer Science & Business Media. This book was released on 2010-08-11 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: Case-based reasoning (CBR) is an Artificial Intelligence (AI) technique to support the capability of reasoning and learning in advanced decision support systems. CBR exploits the specific knowledge collected on previously encountered and solved situations, which are known as cases. In this book, we have collected a selection of papers on very recent CBR applications. These, after an in-depth analysis of their specific application domain needs, propose proper methodological solutions and give encouraging evaluation results, which have in some cases led to the commercialization step. The collected contributions demonstrate the capability of CBR to solve or handle issues which would be too difficult to manage with other classical AI methods and techniques, such as rules or models. The heterogeneity of the involved application domains indicates the flexibility of CBR, and its applicability in all those fields where experiential knowledge is (readily) available.
Book Synopsis Intelligent Techniques in E-Commerce by : Zhaohao Sun
Download or read book Intelligent Techniques in E-Commerce written by Zhaohao Sun and published by Springer. This book was released on 2013-03-20 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: E-commerce has passed through a number of stages in the minds of most readers of the daily press. Initially it was the province of the specialist and considered almost irrelevant to the needs and activities of everyday life - companies looking for venture capital in this area had little if any chance of obtaining sufficient funds from the rather conservative investors who provided the only source of start-up capital. Then came the dot. com boom -and suddenly e-commerce was the most exciting topic possible! Venture capital was available from every possible source and almost any company with a . com in its name could be assured of instant funding on request. This boom was, inevitably, followed by the dot. com bust and the press wamed that the days of e-commerce were gone, perhaps never to return. This apparently confusing 'stages of growth' model is in reality nothing ofthe sort. E-commerce is simply the logical outcome of combining computers with tele communications networks. The astonishing changes which a global economy has brought with it are reflected in the changes to the way we do business which are increasingly synonymous with e-commerce. Indeed, the term e-commerce itself is coming to mean only the transaction-based component of e-business-'any process that a business organisation conducts over a computer-mediated network' as Thomas Mesenbourg ofthe U. S. Census Bureau said in 1999.
Book Synopsis Case-Based Reasoning by : Janet Kolodner
Download or read book Case-Based Reasoning written by Janet Kolodner and published by Morgan Kaufmann. This book was released on 2014-06-28 with total page 687 pages. Available in PDF, EPUB and Kindle. Book excerpt: Case-based reasoning is one of the fastest growing areas in the field of knowledge-based systems and this book, authored by a leader in the field, is the first comprehensive text on the subject. Case-based reasoning systems are systems that store information about situations in their memory. As new problems arise, similar situations are searched out to help solve these problems. Problems are understood and inferences are made by finding the closest cases in memory, comparing and contrasting the problem with those cases, making inferences based on those comparisons, and asking questions when inferences can't be made. This book presents the state of the art in case-based reasoning. The author synthesizes and analyzes a broad range of approaches, with special emphasis on applying case-based reasoning to complex real-world problem-solving tasks such as medical diagnosis, design, conflict resolution, and planning. The author's approach combines cognitive science and engineering, and is based on analysis of both expert and common-sense tasks. Guidelines for building case-based expert systems are provided, such as how to represent knowledge in cases, how to index cases for accessibility, how to implement retrieval processes for efficiency, and how to adapt old solutions to fit new situations. This book is an excellent text for courses and tutorials on case-based reasoning. It is also a useful resource for computer professionals and cognitive scientists interested in learning more about this fast-growing field.
