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DC Field | Value | Language |
---|---|---|
dc.contributor | Mayuri Mehta | - |
dc.contributor.author | Christophe Gaie | - |
dc.date.accessioned | 2024-03-08T03:01:30Z | - |
dc.date.available | 2024-03-08T03:01:30Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | http://thuvienso.thanglong.edu.vn//handle/TLU/9462 | - |
dc.description.abstract | 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. | vi |
dc.language.iso | en | vi |
dc.publisher | Springer | vi |
dc.subject | Artificial intelligence | e-Government | Trí tuệ nhân tạo | Chính phủ điện tử | Bảo vệ dữ liệu cá nhân | vi |
dc.title | Recent Advances in Data and Algorithms for e-Government | vi |
dc.type | Sách/Book | vi |
Appears in Collections | 1-Trí tuệ nhân tạo |
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