书目名称 | Recent Advances in Data and Algorithms for e-Government |
编辑 | Christophe Gaie,Mayuri Mehta |
视频video | http://file.papertrans.cn/823/822703/822703.mp4 |
概述 | 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 |
丛书名称 | Artificial Intelligence-Enhanced Software and Systems Engineering |
图书封面 |  |
描述 | .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.. |
出版日期 | Book 2023 |
关键词 | E-Government; Public Services; Data; Algorithms; Optimization; Web services |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-031-22408-9 |
isbn_softcover | 978-3-031-22410-2 |
isbn_ebook | 978-3-031-22408-9Series ISSN 2731-6025 Series E-ISSN 2731-6033 |
issn_series | 2731-6025 |
copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |