Recent Advances in Data and Algorithms for e-Government

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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.
Pages
234 pages
Collection
Artificial Intelligence-Enhanced Software and Systems Engineering
Parution
2023-03-01
Marque
Springer
EAN papier
9783031224072
EAN PDF
9783031224089

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
23
Taille du fichier
7178 Ko
Prix
168,79 €
EAN EPUB
9783031224089

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
23
Taille du fichier
26276 Ko
Prix
168,79 €