Pattern recognition and big data

著者

書誌事項

Pattern recognition and big data

[edited by] Amita Pal, Sankar K Pal

World Scientific, c2017

  • : hbk

大学図書館所蔵 件 / 3

この図書・雑誌をさがす

注記

Includes bibliographical references and index

内容説明・目次

内容説明

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.

「Nielsen BookData」 より

詳細情報

ページトップへ