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Big Data Analysis : Theory and Technology / by Senlin Luo, Limin Pan.

Springer Nature - Springer Computer Science eBooks 2026 English International Available online

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Format:
Book
Author/Creator:
Luo, Senlin.
Series:
Big Data Management, 2522-0187
Language:
English
Subjects (All):
Data mining.
Quantitative research.
Machine learning.
Artificial intelligence--Data processing.
Artificial intelligence.
Information visualization.
Data Mining and Knowledge Discovery.
Data Analysis and Big Data.
Machine Learning.
Data Science.
Data and Information Visualization.
Local Subjects:
Data Mining and Knowledge Discovery.
Data Analysis and Big Data.
Machine Learning.
Data Science.
Data and Information Visualization.
Physical Description:
1 online resource (447 pages)
Edition:
1st ed. 2026.
Place of Publication:
Singapore : Springer Nature Singapore : Imprint: Springer, 2026.
Summary:
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.
Contents:
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.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
9789819557257
OCLC:
1572226617

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