Big Data Analysis
Description
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.
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Persons
Senlin Luo is a professor, doctoral supervisor, and prominent educator based in Beijing, where he is responsible for the Information and Communication Engineering Subject and Information Countermeasures Technology. He has written 16 books, published more than 260 scientific papers and articles, founded the Information Security and Countermeasures Contest (ISCC), created 4 online open courses and received more than 60 honors at the provincial and ministerial level.
Limin Pan is an associate professor at the School of Information and Electronics. He has co-authored or edited 7 books, published more than 90 scientific papers and articles, created 2 online open courses and received more than 20 honors at the provincial and ministerial level.
Content
Chapter 1. Basic Knowledge of Big Data Analysis.- Chapter 2. Big Data Analysis Core Architecture.- Chapter 3. Big Data Analysis and Calculation Mode.- Chapter 4. Big Data and Cyberspace Security.- 5. Big Data and Natural Language Processing.- Chapter 6. Big Data and Medical Information Processing.- Chapter 7. Big Data and Internet of Things.