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Book details
File Size: 36 MB
Format: pdf
Print Length: 874 pages
Page Numbers Source ISBN: 9813144548
Publisher: WSPC (December 15, 2016)
Publication Date: December 15, 2016
Sold by: Amazon Digital Services LLC
Language: English
ASIN: B01MU3G7SU

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 lifeapplications. 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.

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