Pattern Recognition And Big Data

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.

Product details

• Authors: Pal Amita, Amita Pal & Sankar K Pal, Pal Amita
• Assisted by: Amita Pal (Editor), Sankar Kumar Pal (Editor), Pal Amita (Editor), Pal Sankar Kumar (Editor)
• Publisher: Ingram Publishers Services
• Languages: English
• Product format: Hardback
• Released: 03.02.2017
• EAN: 9789813144545
• ISBN: 978-981-3144-54-5
• Subjects: Guides; Natural sciences, medicine, IT, technology > IT, data processing > IT; COMPUTERS / Optical Data Processing, pattern recognition, Database design and theory, COMPUTERS / Database Administration & Management, Database design & theory