Books Published
    

Authored Monographs

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Fuzzy Mathematical Approach to Pattern Recognition

S.K. Pal and D. Dutta Majumder

John Wiley & Sons (Halsted), N. Y., 1986

 

 

ISBN No. 0-470-27463-8, Pages : 280

Contents : Introduction, Fuzzy Subsets and Properties, Classificatory Analysis, Preprocessing,  Feature Selection and Primitive Extraction, Speech Recognition, Adaptive Classification, Fuzzy  Grammars and Syntactic Recognition.

The book received Best Production Award in the 7th World Book Fair, New Delhi, 1986.

The book has been translated into Indonesian Bhasa and Chinese Language.

Cover Page of the Book

Neuro-Fuzzy Pattern Recognition : Methods in Soft Computing

S.K. Pal and S. Mitra

John Wiley, N.Y., 1999

ISBN No. 0-471-34844-9, Pages : 408

Foreword by : Prof. Lotfi A. Zadeh, University of California, Berkeley.

Contents : Introduction, Fuzzy Logic and Neural Networks : Models, Integration, and Soft Computing, Pattern Classification, Other Applications of Fuzzy MLP, Self-Organization, Pixel Classification, and Object Extraction, Feature Evaluation, Rule Generation and Inferencing, Using Knowledge-Based Networks and Fuzzy Sets, Rough-Fuzzy Knowledge-Based Networks.

 

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Foundations of Soft Case-Based Reasoning

Sankar K. Pal and Simon C. K. Shiu

John Wiley, N.Y., 2004

ISBN No. 0-471-08635-5, Pages : 324

"The book is must reading for anyone who is interested in the conception, design and utilization of intelligent systems." - from the Foreword by Lotfi A. Zadeh (founder of fuzzy logic), Univ. of California, Berkeley

Contents :
Introduction, Case Representation and Indexing, Case Selection and Retrieval, Case Adaptation, Case-Base Maintenance, Applications.

 

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Pattern Recognition Algorithms for Data Mining

Sankar K. Pal and  Pabitra Mitra

CRC Press, Boca Raton, Florida, 2004

ISBN No. 1-584-88457-6, Pages : 280

"The importance of the book is hard to exaggerate. It is a treatise that is an
exemplar of authority, deep insights, encyclopedic coverage and high expository skill. .... Its authors, Professors S.K. Pal and P. Mitra are foremost authorities in pattern recognition, data mining and related fields." --- from the Foreword by Lotfi A. Zadeh, Univ. of California, Berkeley


"The book presents an unbeatable combination of theory and practice and gives a comprehensive view on methods and tools in modern KDD." --- from the Foreword by Zdzislaw Pawlak (founder of rough set theory), Polish Academy of Sciences, Warsaw

"This volume provides a very useful, thorough exposition of the many facets of this application from several perspectives. ... I am pleased to recommend it as a valuable addition to the books in this field." ---- from the Foreword by Laveen N Kanal, Univ. of Maryland, College Park

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.

The book has also been published in cheaper paperback edition for South Asia Region.

 

Classification and Learning Using Genetic Algorithms: Applications in Bioinformatics and Web Intelligence

Series: Natural Computing Series

Sanghamitra Bandyopadhyay and Sankar K. Pal

Springer,  Heidelberg,  2007

ISBN No. 978-3-540-49606-9, Pages: 326.

Contents: Introduction,  Genetic Algorithms,  Supervised Classification Using Genetic Algorithms, Theoretical Analysis of the GA-Classifier,  Variable String Lengths in GA-Classifier, Chromosome Differentiation in VGA-Classifier, Multi-objective VGA-Classifier and Quantitative Indices,  Genetic Algorithms in Clustering, Genetic Learning in Bioinformatics, Genetic Algorithms and Web Intelligence, Appendices, References,  Index.

The book is unique in the sense of describing how a search technique, the genetic algorithm, can be used for pattern classification mainly through approximating decision boundaries, and it demonstrates the effectiveness of the genetic classifiers vis--vis several widely used classifiers, including neural networks. It provides a balanced mixture of theories, algorithms and applications, and in particular results from the bioinformatics and Web intelligence domains.

A critical review of this book is provided in International Association for Pattern Recognition (IAPR) Newsletter, vol. 30, no. 4, page 12, October 2008

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Rough-Fuzzy Pattern Recognition: Application in
Bioinformatics and Medical Imaging

Series: Bioinformatics, Computational Intelligence and Engineering  

Pradipta Maji and Sankar K. Pal  

Wiley-IEEE Computer Society Press, January 2012 

ISBN: 978-1-1180-0440-1,  Pages 312  

Foreword by : Prof. Andrzej Skowron, University of Warsaw, Poland    

Description:   Learn how to apply rough-fuzzy computing techniques to solve problems in bioinformatics and medical image processing Emphasizing applications in bioinformatics and medical image processing, this text offers a clear framework that enables readers to take advantage of the latest rough-fuzzy computing techniques to build working pattern recognition models. The authors explain step by step how to integrate rough sets with fuzzy sets in order to best manage the uncertainties in mining large data sets. Chapters are logically organized according to the major phases of pattern recognition systems development, making it easier to master such tasks as classification, clustering, and feature selection. Numerous examples and case studies help readers better understand how pattern recognition models are developed and used in practice.

 

Granular Neural Networks, Pattern Recognition and Bioinformatics
 

Sankar K. Pal, Shubhra S. Ray, Avatharam Ganivada  
 

Springer International Publishing, 2017


DOI: 10.1007/978-3-319-57115-7
ISBN: 978-3-319-57115-7 (ebook)
ISBN: 978-3-319-57113-3 (hardcover)
Series ISSN: 1860-949X

Pages: XVI, 224
 

Provides a unified framework describing how fuzzy rough granular neural network technologies can be judiciously formulated and used in building efficient pattern recognition models are structured according to the major phases of a pattern recognition system (e.g., classification, clustering, and feature selection) with a balanced mixture of theory, algorithm, and applications
Highlights applications in bioinformatics

 

 

Edited Monographs

Cover Page of the Book

Fuzzy Models for Pattern Recognition : Methods that Search for Structures in Data

J. C. Bezdek and S. K. Pal (Eds.)

IEEE Press N. Y., 1992.

ISBN No. 0-7803-0422-5, Pages : 539

Foreword by : Prof. Lotfi A. Zadeh, University of California, Berkeley.

Contents : Introduction, Cluster Analysis, Classifier Design and Feature Analysis, Image Processing and Machine Vision, Fuzzy Logic, Neural Networks and Learning in Pattern Recognition

This book consists of 50 pages of original material (written by the authors) and 51 seminal papers (most of them are IEEE publications) reprinted from journals.

The book was in the list of IEEE Best Sellers book till 1995

Cover Page of the Book

Genetic Algorithms for Pattern Recognition

S. K. Pal and P. P. Wang (Eds.)

CRC Press, Boca Raton, Florida, 1996

ISBN No. 0-8493-9467-8, Pages : 320

This book is unique of its own kind and consists of 13 articles, written by leading scientists over the world, demonstrating how the effectiveness of Genetic Algorithms can be exploited for solving some existing problems of pattern recognition and for designing efficient systems.

Cover Page of the Book

Rough-Fuzzy Hybridization : A New Trend in Decision Making

S. K. Pal and A. Skowron (Eds.)

Springer Verlag, Singapore, 1999

ISBN No. 981-4021-00-8, Pages : 454.

This is the first book on integrating rough sets and fuzzy sets for developing efficient decision making system with real life  applications. It has 20 articles written by leading experts over the world.

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Soft Computing for Image Processing

S.K. Pal, A. Ghosh and M.K. Kundu, (Eds.)

Physica Verlag, Heidelberg, 2000

ISBN No. 3-7908-1268-4, Pages : 590

Foreword by : Prof. A. Rosenfeld, University of Maryland, College Park.

The volume provides a collection of 21 articles, written by leading experts all over the world, containing new material and describing, in a unified way with extensive real life applications,  the merits and significance of performing different image processing/analysis tasks in soft computing paradigm.

 

Cover Page of the Book

Soft Computing in Case Based Reasoning

S.K. Pal, T.S. Dillon and D.S. Yeung, (Eds.)

Springer Verlag, London, 2001

 

ISBN No. 1-85233-262-X, Pages : 372

Foreword by : Prof. H.J. Zimmenmann, Aachen, Germany.


The book, which is unique of its kind, describes how various soft computing tools can be applied to design and develop methodologies and systems   with case based reasoning (CBR) for real life decision-making or recognition problems. It comprises 15 contributions from experts from all over the world.

 

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Pattern Recognition : From Classical to Modern Approaches

Sankar K. Pal and Amita Pal, (Eds.)

World Scientific, Singapore, 2001

ISBN No. 981-02-4684-6, Pages : 636

Foreword by : Prof. Laveen N. Kanal, College Park, MD, USA.


This volume, containing contributions by experts from all over the world, is a collection of 21 articles which present reviews and research material describing the evolution and recent developments of various pattern recognition methodologies, ranging from statistical, syntactic/linguistic, fuzzy-set-theoretic, neural, genetic-algorithmic and rough-set-theoretic to hybrid soft computing, with significant real-life applications. In addition, the book describes efficient soft machine learning algorithms for data mining and applications, as well as up-to-date information and an extensive bibliography.

 

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Neural Networks and Systolic Array Design

David Zhang and Sankar K. Pal, (Eds.)

World Scientific, Singapore, 2002

ISBN No. 981-02-4840-7, Pages: 420

The volume, contains 16 chapters, describes in a unified way, the basic concepts, theories and characteristic feature of integrating of formulating different facets of Neural Networks (NNs) and Systolic Arrays (SAs), as well as presents recent developments and significant applications. The articles, written by experts from all over the world, demonstrate the various ways this integration can be made to efficiently design methodologies, algorithms and architectures, and also implementations, for NN applications.

 

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Soft Computing Approach to Pattern Recognition and Image Processing

Ashish Ghosh and Sankar K. Pal, (Eds.)

World Scientific, Singapore, 2002

ISBN No. 981-238-251-8, Pages: 372

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.

 

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Rough-Neural Computing

Techniques for Computing with Words

Sankar K. Pal, Lech Polkowski and Andrzej Skowron(Eds.)

Springer Verlag, Berlin, 2004

ISBN No. 3-540-43059-8, Pages: 734

Foreword by : Prof. Zdzistaw Pawlak, University of Information Technology and Management, Warsaw, Poland.

Prof. Lotfi A. Zadeh, Department of EECS, University of California, Berkeley, USA.

It is well understood now in the soft computing community that hybrid approaches combining various paradigms provide very promising means for solving complex problems. Exploring the potential and strength of neural networks, rough sets, and rough-fuzzy hybridization, this book is devoted to rough-neural computing, which is also related to the novel aspect of computing with words. It has  29 articles contributed by experts from all over the world and provides foundational and methodological issues as well as applications in various fields.

 

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Rough Fuzzy Image Analysis

Foundations and Methodologies

Sankar K. Pal and J. F. Peters (Eds.)

Chapman & Hall/CRC, Boca Raton, Florida, 2010

ISBN No. 978-1-4398-0329-5, Pages: 266

This is the first book under the series of /Mathematical and Computational Imaging Sciences/of Chapman & Hall/ CRC. Emphasizing the utility of fuzzy, near and rough sets in image analysis, the volume having twelve chapters introduces the fundamentals and applications in the state of
the art of rough-fuzzy image analysis. The volume is unique in the sense that it presents a new approach to image analysis using near sets and tolerance spaces; provides a complete implementation of near sets and offers the NEAR system for download on http://wren.ece.umanitoba.ca/;
and covers an array of applications, particularly in medical imaging involving breast cancer diagnosis, laryngeal pathology diagnosis, and brain MR segmentation.

Handbook on Soft Computing for Video Surveillance

Sankar K. Pal, Alfredo Petrosino and Lucia Maddalena(Eds.)

Chapman & Hall/CRC Cryptography and Network Security Series

Chapman & Hall/CRC, Boca Raton, Florida, 2012

ISBN No. 978-1439856840, Pages: 342

Information on integrating soft computing techniques into video surveillance is widely scattered among conference papers, journal articles, and books. Bringing this research together in one source, Handbook on Soft Computing for Video Surveillance illustrates the application of soft computing techniques to different tasks in video surveillance. Worldwide experts in the field present novel solutions to video surveillance problems and discuss future trends.

After an introduction to video surveillance systems and soft computing tools, the book gives examples of neural network-based approaches for solving video surveillance tasks and describes summarization techniques for content identification. Covering a broad spectrum of video surveillance topics, the remaining chapters explain how soft computing techniques are used to detect moving objects, track objects, and classify and recognize target objects. The book also explores advanced surveillance systems under development.

Incorporating both existing and new ideas, this handbook unifies the basic concepts, theories, algorithms, and applications of soft computing. It demonstrates why and how soft computing methodologies can be used in various video surveillance problems.

 

 

Soft Computing Applications in Sensor Networks
 

Sudip Misra and Sankar K. Pal (Eds.)

Chapman & Hall/CRC, Boca Raton, Florida, 2017


ISBN No. 13: 978-1-4822-9875-8, Pages: 284

 

The  book provides research describing soft computing approaches in sensor networking, while investigating the novel solutions and discussing future trends in this field. With eleven chapters containing tutorials and new material, mostly written by prominent academicians, researchers and practitioners, the volume describes basic concepts, theory and algorithms that demonstrate why and how soft computing techniques can be used for sensor networking in different disciplines. Different case studies and applications topics considered include: smart node model for wireless sensor network(WSNs), protocols for WSN routing, fault-tolerant routing in WSNs, optimal cluster head positioning in heterogeneous sensor networks, ubiquitous context aware services, energy-aware wireless body area networks in health care delivery, and the definition of various network entropy measures. After a brief tutorial-style introduction, each chapter provides a comprehensive description of the developments in its respective area.

 

Pattern Recognition and Big Data
 

Amita Pal  and Sankar K. Pal (Eds.)
 

World Scientific, 2017

ISBN: 978-981-3144-54-5 (hardcover)

ISBN: 978-981-3144-56-9 (ebook)

Pages: 876 

 

Containing twenty six contributions by experts from all over the world, this book presents both research and review material describing the evolution and recent developments of various pattern recognition methodologies, ranging from statistical, linguistic, fuzzy-set-theoretic, neural, evolutionary computing and rough-set-theoretic to hybrid soft computing, with significant real-life applications.

Pattern Recognition and Big Data provides state-of-the-art of classical and modern approaches to pattern recognition and mining, with extensive real life applications. The book describes efficient soft and robust machine learning algorithms and granular computing techniques for data mining and knowledge discovery; and the issues associated with handling Big Data. Application domains considered include bioinformatics, cognitive machines (or machine mind developments), biometrics, computer vision, the e-nose, remote sensing and social network analysis.

 

Edited Conference Proceedings

 

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Intelligent Agent Technology

(2004 IEEE/WIC/ACM International Conference)

Ning Zhong, Jeffrey Bradshaw, Sankar K. Pal, Domenico Talia, Jiming Liu, and Nick Cerrone (Eds.)

IEEE Computer Society, Los Alamitos, California, USA,  2004

ISBN No. 0-7695-2101-0, Pages: 569

Beijing,  China,  September 20-24,   2004

 

Wavelet Analysis and Its Applications, and Active Media Technology

(In 2 Volumes)

(Proceedings of the International Computer Congress 2004)

        Jian Ping Li, John Daugman, Victor Wickerhauser,  Bruno Torresani, John Yen, 

Ning Zhong,  Sankar K Pal, Yuan Yan Tang, Jiming Liu (Eds.)

World Scientific Pub Co Inc. 2004

 

ISBN: 978-981-238-874-2 (hardcover) and ISBN: 978-981-4482-47-9 (ebook), Pages : 1136

Logistical Engineering University, P R China, 28 – 30 May 2004

 

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Pattern Recognition and Machine Intelligence

        (First International Conference, PReMI 2005, Proceedings)

Series: Lecture Notes in Computer Science, Vol. 3776

        Sankar K. Pal, Sanghamitra Bandhyopadhyay, and Sambhunath Biswas (Eds.)

Springer-Verlag, Berlin Heidelberg 2005

ISBN: 3-540-30506-8, Pages: 808

Kolkata, India, December 20-22, 2005

 

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Pattern Recognition and Machine Intelligence

        (Second International Conference, PReMI 2007, Proceedings)

Series: Lecture Notes in Computer Science, Vol. 4815

        Ashish Ghosh, Rajat K. De and Sankar K. Pal (Eds.)

Springer-Verlag, Berlin Heidelberg 2007

ISBN: 978-3-540-77045-9, Pages: 677

Kolkata, India, December 18-22, 2007

 

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Fuzzy Logic and Applications

        (8th International Workshop on Fuzzy Logic and Applications)

Series: Lecture Notes in Artificial Intelligence, Vol. 5571

        Vito Di Gesu, Sankar K. Pal and Alfredo Petrosino (Eds.)

Springer-Verlag, Berlin Heidelberg 2009

ISBN: 978-3-642-02281-4, Pages: 378

Palermo, Italy, June 9-12, 2009

 

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Signal Processing, Image Processing and Pattern Recognition

        (2009 International Conference on Signal Processing, Image Processing and Pattern Recognition, SIP 2009, Proceedings)

Held as Part of the Future Generation Information Technology Conference, FGIT 2009

Series: Communications in Computer and Information Science, Vol. 61

        D. Slezak, S.K. Pal, B.-H, Kang, J. Gu, H. Kuroda, and T. -H.. Kim (Eds.)

Springer-Verlag, Berlin Heidelberg 2010

ISBN: 978-3-642-10545-6, Pages: 330

Jeju Island, Korea, December 10-12, 2009

 

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Pattern Recognition and Machine Intelligence

        (Third International Conference, PReMI 2009, Proceedings)

Series: Lecture Notes in Computer Science, Vol. 5909

        S. Chaudhury, S. Mitra, C.A. Murthy, P.S. Sastry and S.K. Pal (Eds.)

Springer-Verlag, Berlin Heidelberg 2009

 

ISBN: 978-3-642-11163-1, Pages: 631

Delhi, India, December 16-20, 2009

 

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Signal Processing and Multimedia

        (2010 International Conference on Signal Processing, Image Processing and Pattern Recognition, SIP 2010, Proceedings)

Held as Part of the Future Generation Information Technology Conference, FGIT 2010

Series: Communications in Computer and Information Science, Vol. 123

        T-H Kim, S.K. Pal, W. I. Gtosky, N. Pissinou, T. K. Shih and D. Slezak,  (Eds.)

Springer-Verlag, Berlin Heidelberg 2010

 

ISBN: 978-3-642-17640-1, Pages: 328

Jeju Island, Korea, December 13-15, 2010

 

Pattern Recognition and Machine Intelligence

        (4th International Conference on  PReMI 2011, Proceedings)

Series: Lecture Notes in Computer Science, Vol. 6744

   Kuznetsov, S.O.; Mandal, D.P.; Kundu, M.K.; Pal, S.K. (Eds.)

Springer-Verlag, Berlin Heidelberg 2011

 

ISBN: 978-3-642-21785-2 Pages: 467

Moscow, Russia, June 27 - July 1, 2011

 

Perception and Machine Intelligence

(First Indo-Japan Conference, PerMIn 2012, Kolkata, India, January 12-13, 2011, Proceedings)

Series: Lecture Notes in Computer Science, Vol. 7143

Kundu, M.K.; Mitra, S.; Mazumdar, D.; Pal, S.K. (Eds.)

Springer-Verlag, Berlin Heidelberg 2012

 

ISBN- 978-3-642-27386-5, Pages: 380

Kolkata, India, January 12-13, 2012

 

Pattern Recognition and Machine Intelligence

        (Fifth International Conference, PReMI 2013, Proceedings)

Series: Lecture Notes in Computer Science, Vol. 8251

        Pradipta Maji, Ashish Ghosh,  M. Nararasimha Murty, Kuntal Ghosh and Sankar K. Pal (Eds.)

Springer-Verlag, Berlin Heidelberg 2013

 

ISBN: 978-3-642-45061-7 (Print) 978-3-642-45062-4(Online),Pages: 753

Kolkata, India, December 10-14, 2013

 

Recent Advances in Intelligent Informatics

(Second International Symposium on Intelligent Informatics (ISI'13), August 23-24 2013 Proceedings)

Series: Advances in Intelligent Systems and Computing, Vol. 235  

Thampi, S.M.; Abraham, A.; Pal, S.K.; Rodriguez, J.M.C. (Eds.) 

Springer International Publishing Switzerland 2014

 

ISBN 978-3-319-01777-8, Pages: 466

Mysore, India, August 23-24, 2013

 

 Perception and Machine Intelligence (PerMIn'15)

(PreMIn '15, The 2nd International Conference on Perception and Machine Intelligence, ACM-ICPS Vol. 0982)

 Malay K. Kundu, Santanu Chaudhury, Soma Mitra, Debasis Mazumder and Sankar K. Pal,(Eds.)

ACM New York, USA, 2015

 

ISBN 978-1-4503-2002-3, Pages: 269 

Kolkata, India, February 26-27, 2015  

 

Pattern Recognition and Machine Intelligence

        (6th International Conference, PReMI 2015, Proceedings)

Series: Lecture Notes in Computer Science, Vol. 9124

M. Kryszkiewicz, S.  Bandyopadhyay, H. Rybinski, and Sankar K. Pal (Eds.)

Springer-2015

ISBN:  978-3-319-19940-5 (Print) ISBN 978-3-319-19941-2 (Online),Pages: 588

Warsaw, Poland, June 30 - July 3, 2015

 

 

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