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Big Data Analysis

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About

Big Data Analysis Synopsis

This book systematically and comprehensively explores and discusses the theory and technology of big data analysis. The main topics include the basic concept of big data analytics, its core architecture, the calculation model used, the clash between big data and information security, big data and natural language processing, and big data and biological information processing.


Given its scope, the book can meet the long-term training needs of diverse talents at colleges and universities, as well as teaching and research staff engaged in cyberspace security, computer science and technology, software engineering, artificial intelligence, information and communication engineering, and related disciplines. The book also has essential practical and reference value for all those engaged in research related to big data analytics.

About This Edition

ISBN: 9789819557240
Publication date:
Author: Senlin Luo, Limin Pan
Publisher: Springer an imprint of Springer Nature Singapore
Format: Hardback
Pagination: 427 pages
Series: Big Data Management
Genres: Data mining
Expert systems / knowledge-based systems
Machine learning
Information visualization
Databases

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