Item Infomation

Full metadata record
DC FieldValueLanguage
dc.contributorMayuri Mehta-
dc.contributor.authorChristophe Gaie-
dc.date.accessioned2024-03-08T03:01:30Z-
dc.date.available2024-03-08T03:01:30Z-
dc.date.issued2023-
dc.identifier.urihttp://thuvienso.thanglong.edu.vn//handle/TLU/9462-
dc.description.abstractThis 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.isoenvi
dc.publisherSpringervi
dc.subjectArtificial intelligence | e-Government | Trí tuệ nhân tạo | Chính phủ điện tử | Bảo vệ dữ liệu cá nhânvi
dc.titleRecent Advances in Data and Algorithms for e-Governmentvi
dc.typeSách/Bookvi
Appears in Collections1-Trí tuệ nhân tạo

Files in This Item: