Recent Advances in Data and Algorithms for e-Government Paperback / softback
Edited by Christophe Gaie, Mayuri Mehta
Part of the Artificial Intelligence-Enhanced Software and Systems Engineering series
Paperback / softback
Description
This book presents new trends to optimize e-Government in various contexts.
It aims to highlight new methods and approaches that unveil the potential of data for public services.
The book also illustrates how public services can be mathematically modeled with many case studies.
Then, algorithms are proposed to optimize their functioning and to better contribute to the general interest, such as education, health care, safety, security, or culture.
The book also focuses on protecting citizens' personal data and obtaining their explicit consent. The book is suitable for students and academics aiming to build up their background on the usage of data and algorithms through various techniques, including artificial intelligence.
The book is used as a reference book for teaching a graduate course on e-Government, Process Modeling, or Artificial Intelligence.
Besides its use in academia, this book is used by civil servants of every domain and citizens who aim to understand theongoing modernization of public services.
Information
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Out of stock
- Format:Paperback / softback
- Pages:234 pages, 47 Illustrations, color; 20 Illustrations, black and white; XIII, 234 p. 67 illus., 47 il
- Publisher:Springer International Publishing AG
- Publication Date:03/03/2024
- Category:
- ISBN:9783031224102
Information
-
Out of stock
- Format:Paperback / softback
- Pages:234 pages, 47 Illustrations, color; 20 Illustrations, black and white; XIII, 234 p. 67 illus., 47 il
- Publisher:Springer International Publishing AG
- Publication Date:03/03/2024
- Category:
- ISBN:9783031224102
