Pattern Recognition And Big Data
Language: English
Published by World Scientific Publishing Co Pte Ltd, SG, 2017
- Hardcover
- New

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AbeBooks seller since June 11, 2025
Condition: New
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Add to basketItem description from seller
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 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.
Seller Inventory # LU-9789813144545
- Title
- Pattern Recognition And Big Data
- Author
- Amita Pal
- Publisher
- World Scientific Publishing Co Pte Ltd, SG
- Publication year
- 2017
- Condition
- New
- Binding
- Hardback
- Language
- English
- ISBN 10
- 9813144548
- ISBN 13
- 9789813144545
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 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.
"Synopsis" may belong to another edition of this title.
About the Author
Sankar K Pal is a Distinguished Scientist and former Director of the Indian Statistical Institute Kolkata, India. He is a DAE Raja Ramanna Fellow and J C Bose Fellow of the Government of India, and former INAE Chair Professor. He founded the Machine Intelligence Unit and the Center for Soft Computing Research in the Indian Statistical Institute in Kolkata. He obtained two PhDs from Calcutta University, India, and Imperial College, London; and worked at the UC Berkeley and UMD, College Park; the NASA JSC, Houston, Texas; and US Naval Research Lab, Washington DC. He served as a Distinguished Visitor of IEEE Computer Society and held visiting positions in Italy, Poland, Hong Kong and Australian universities. Prof Pal is a Life-Fellow of IEEE and Fellow of TWAS, IAPR, IFSA and INSA. He is a co-author of nineteen books and more than four hundred research publications. He has served in the editorial board of twenty international journals, including IEEE transactions. Awards/prizes received include the S S Bhatnagar Prize (India), the Padma Shri (India), the Khwarizmi International Award (Iran) and the NASA Tech. Brief award (USA).
"About the title" may belong to another edition of this title.
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