Pattern Recognition Algorithms for Data Mining

Author:   Sankar K. Pal ,  Pabitra Mitra
Publisher:   Taylor & Francis Inc
ISBN:  

9781584884576


Pages:   274
Publication Date:   27 May 2004
Format:   Hardback
Availability:   In Print   Availability explained
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Pattern Recognition Algorithms for Data Mining


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Overview

Pattern Recognition Algorithms for Data Mining addresses different pattern recognition (PR) tasks in a unified framework with both theoretical and experimental results. Tasks covered include data condensation, feature selection, case generation, clustering/classification, and rule generation and evaluation. This volume presents various theories, methodologies, and algorithms, using both classical approaches and hybrid paradigms. The authors emphasize large datasets with overlapping, intractable, or nonlinear boundary classes, and datasets that demonstrate granular computing in soft frameworks.Organized into eight chapters, the book begins with an introduction to PR, data mining, and knowledge discovery concepts. The authors analyze the tasks of multi-scale data condensation and dimensionality reduction, then explore the problem of learning with support vector machine (SVM). They conclude by highlighting the significance of granular computing for different mining tasks in a soft paradigm.

Full Product Details

Author:   Sankar K. Pal ,  Pabitra Mitra
Publisher:   Taylor & Francis Inc
Imprint:   Chapman & Hall/CRC
Dimensions:   Width: 15.60cm , Height: 1.70cm , Length: 23.40cm
Weight:   0.680kg
ISBN:  

9781584884576


ISBN 10:   1584884576
Pages:   274
Publication Date:   27 May 2004
Audience:   General/trade ,  College/higher education ,  General ,  Tertiary & Higher Education
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Introduction. Multiscale data condensation. Unsupervised feature selection. Active learning using support vector machine. Rough-fuzzy case generation. Rough-fuzzy clustering. Rough self-organizing map. Classification, rule generation and evaluation using modular rough-fuzzy MLP. Appendices.

Reviews

Pattern Recognition Algorithms in Data Mining is a book that commands admiration. Its authors, Professors S.K. Pal and P. Mitra are foremost authorities in pattern recognition, data mining, and related fields. Within its covers, the reader finds an exceptionally well-organized exposition of every concept and every method that is of relevance to the theme of the book. There is much that is original and much that cannot be found in the literature. The authors and the publisher deserve our thanks and congratulations for producing a definitive work that contributes so much and in so many important ways to the advancement of both the theory and practice of recognition technology, data mining, and related fields. The magnum opus of Professors Pal and Mitra is must-reading for anyone who is interested in the conception, design, and utilization of intelligent systems. - from the Foreword by Lotfi A. Zadeh, University of California, Berkeley, USA The book presents an unbeatable combination of theory and practice and provides a comprehensive view of methods and tools in modern KDD. The authors deserve the highest appreciation for this excellent monograph. - from the Foreword by Zdzislaw Pawlak, Polish Academy of Sciences, Warsaw This volume provides a very useful, thorough exposition of the many facets of this application from several perspectives. ... I congratulate the authors of this volume and I am pleased to recommend it as a valuable addition to the books in this field. - from the Forword by Laveen N. Kanal, University of Maryland, College Park, USA.


Pattern Recognition Algorithms in Data Mining is a book that commands admiration. Its authors, Professors S.K. Pal and P. Mitra are foremost authorities in pattern recognition, data mining, and related fields. Within its covers, the reader finds an exceptionally well-organized exposition of every concept and every method that is of relevance to the theme of the book. There is much that is original and much that cannot be found in the literature. The authors and the publisher deserve our thanks and congratulations for producing a definitive work that contributes so much and in so many important ways to the advancement of both the theory and practice of recognition technology, data mining, and related fields. The magnum opus of Professors Pal and Mitra is must-reading for anyone who is interested in the conception, design, and utilization of intelligent systems. - from the Foreword by Lotfi A. Zadeh, University of California, Berkeley, USA The book presents an unbeatable combination of theory and practice and provides a comprehensive view of methods and tools in modern KDD. The authors deserve the highest appreciation for this excellent monograph. - from the Foreword by Zdzislaw Pawlak, Polish Academy of Sciences, Warsaw This volume provides a very useful, thorough exposition of the many facets of this application from several perspectives. I congratulate the authors of this volume and I am pleased to recommend it as a valuable addition to the books in this field. - from the Forword by Laveen N. Kanal, University of Maryland, College Park, USA.


"""Pattern Recognition Algorithms in Data Mining is a book that commands admiration. Its authors, Professors S.K. Pal and P. Mitra are foremost authorities in pattern recognition, data mining, and related fields. Within its covers, the reader finds an exceptionally well-organized exposition of every concept and every method that is of relevance to the theme of the book. There is much that is original and much that cannot be found in the literature. The authors and the publisher deserve our thanks and congratulations for producing a definitive work that contributes so much and in so many important ways to the advancement of both the theory and practice of recognition technology, data mining, and related fields. The magnum opus of Professors Pal and Mitra is must-reading for anyone who is interested in the conception, design, and utilization of intelligent systems."" - from the Foreword by Lotfi A. Zadeh, University of California, Berkeley, USA ""The book presents an unbeatable combination of theory and practice and provides a comprehensive view of methods and tools in modern KDD. The authors deserve the highest appreciation for this excellent monograph."" - from the Foreword by Zdzislaw Pawlak, Polish Academy of Sciences, Warsaw "" This volume provides a very useful, thorough exposition of the many facets of this application from several perspectives. … I congratulate the authors of this volume and I am pleased to recommend it as a valuable addition to the books in this field."" - from the Forword by Laveen N. Kanal, University of Maryland, College Park, USA."


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Pal, Sankar K.; Mitra, Pabitra

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