Автор: Mohiuddin Ahmed, Al-Sakib Khan Pathan
Издательство: CRC Press
ISBN: 113850081X
Год: 2018
Страниц: 450
Язык: английский
Формат: pdf (true)
Размер: 12.6 MB
Large data sets arriving at every increasing speeds require a new set of efficient data analysis techniques. Data analytics are becoming an essential component for every organization and technologies such as health care, financial trading, Internet of Things, Smart Cities or Cyber Physical Systems. However, these diverse application domains give rise to new research challenges. In this context, the book provides a broad picture on the concepts, techniques, applications, and open research directions in this area. In addition, it serves as a single source of reference for acquiring the knowledge on emerging Big Data Analytics technologies.
Contents:
SECTION I: Data Analytics Concepts
Chapter 1: An Introduction to Machine Learning
Chapter 2: Regression for Data Analytics
Chapter 3: Big Data-Appropriate Clustering via Stochastic Approximation and Gaussian Mixture Models
Chapter 4: Information Retrieval Methods for Big Data Analytics on Text
Chapter 5: Big Graph Analytics
SECTION II: Data Analytics Techniques
Chapter 6: Transition from Relational Database to Big Data and Analytics
Chapter 7: Big Graph Analytics: Techniques, Tools, Challenges, and Applications
Chapter 8: Application of Game Theory for Big Data Analytics
Chapter 9: Project Management for Effective Data Analytics
Chapter 10: Blockchain in the Era of Industry 4.0
Chapter 11: Dark Data for Analytics
SECTION III: Data Analytics Applications
Chapter 12: Big data: Prospects and Applications in the Technical and Vocational Education and Training Sector
Chapter 13: Sports Analytics: Visualizing Basketball Records in Graphical Form
Chapter 14: A nalysis of Traffic Offenses in Transportation: Application of Big Data Analysis
Chapter 15: Intrusion Detection for Big Data
Chapter 16: Health Care Security Analytics
Скачать Data Analytics: Concepts, Techniques, and Applications