Handbook of Big Data: Chapman & Hall/CRC Handbooks of Modern Statistical Methods

The Handbook of Big Data is a comprehensive overview of the latest research in big data. It covers a wide range of topics, from data mining to machine learning to data visualization. The book is divided into three parts:

Handbook of Big Data (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)

by Flora Ferrari

4.3 out of 5

Language	:	English
File size	:	13776 KB
Screen Reader	:	Supported
Print length	:	480 pages

FREE

1. Part 1: Foundations of Big Data
2. Part 2: Big Data Analytics
3. Part 3: Applications of Big Data

Part 1 provides an to the fundamental concepts of big data, including data storage, data processing, and data analysis. Part 2 covers a variety of big data analytics techniques, such as data mining, machine learning, and statistical modeling. Part 3 explores the applications of big data in a variety of domains, such as healthcare, finance, and marketing.

Key Features

The Handbook of Big Data has a number of key features that make it a valuable resource for researchers, practitioners, and students alike:

• Comprehensive coverage: The book covers a wide range of topics in big data, from foundational concepts to advanced analytics techniques to applications.
• Authoritative content: The book is written by a team of leading experts in the field of big data.
• Practical examples: The book includes numerous practical examples that illustrate how big data analytics can be used to solve real-world problems.
• Extensive references: The book provides extensive references to the latest research in big data.

Audience

The Handbook of Big Data is intended for a wide audience, including:

• Researchers: The book provides a comprehensive overview of the latest research in big data.
• Practitioners: The book provides practical guidance on how to use big data analytics to solve real-world problems.
• Students: The book provides a comprehensive to the field of big data.

The Handbook of Big Data is a valuable resource for researchers, practitioners, and students alike. It provides a comprehensive overview of the latest research in big data, including a variety of big data analytics techniques and applications. The book is written by a team of leading experts in the field and includes numerous practical examples and extensive references.

References

1. Chen, M., Mao, S., & Liu, Y. (2014). Big data: A survey. Mobile Networks and Applications, 19(2),171-209.
2. Gandomi, A., & Haider, M. (2015). Beyond the hype: Big data concepts, methods, and analytics. International Journal of Information Management, 35(2),137-144.
3. Laney, D. (2001). 3D data management: Controlling data volume, velocity, and variety. META Group Research Note, 6(70).

Handbook of Big Data (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)

by Flora Ferrari

4.3 out of 5

Language	:	English
File size	:	13776 KB
Screen Reader	:	Supported
Print length	:	480 pages

FREE