Overview
- Presents recent research concerning the rise of e-Government with coordinated dimensions
- Addresses recent advances in Data and Algorithms for e-Government
- Written by experts in the field
Part of the book series: Artificial Intelligence-Enhanced Software and Systems Engineering (AISSE, volume 5)
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Table of contents (10 chapters)
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Front Matter
Keywords
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: Recent Advances in Data and Algorithms for e-Government
Editors: Christophe Gaie, Mayuri Mehta
Series Title: Artificial Intelligence-Enhanced Software and Systems Engineering
DOI: https://doi.org/10.1007/978-3-031-22408-9
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-031-22407-2Published: 02 March 2023
Softcover ISBN: 978-3-031-22410-2Published: 03 March 2024
eBook ISBN: 978-3-031-22408-9Published: 01 March 2023
Series ISSN: 2731-6025
Series E-ISSN: 2731-6033
Edition Number: 1
Number of Pages: XIII, 234
Number of Illustrations: 20 b/w illustrations, 47 illustrations in colour
Topics: Data Engineering, Computational Intelligence, Artificial Intelligence