Название: Data Privacy and Data Governance: Concepts and Techniques
Автор: Xiaofeng Meng
Издательство: Springer/China Machine Press
Серия: Big Data Management
Год: 2026
Страниц: 226
Язык: английский
Формат: pdf (true), epub
Размер: 20.6 MB

The book provides a systematic overview of data privacy and data governance from both conceptual and technical perspectives. The first section introduces the fundamentals of data privacy and data governance from a historical and systemic standpoint. Sections two through four focus on large-scale data collection, Machine Learning, and data ecosystem scenarios, respectively, providing an introduction to their corresponding technical foundations and summarizing key current issues and technological solutions.

This book offers a fresh perspective on data privacy and data governance within the context of the new data ecosystem. It primarily explains technical concepts and algorithms, supplemented by case studies, in a balanced and informative manner. It is intended for both technical professionals seeking information and general readers interested in developing a basic understanding of data privacy and data governance, as well as cultivating data literacy.

Contents: