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Recent advances in data and algorith...

Gaie, Christophe.

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Recent advances in data and algorithms for e-government

Record Type:	Electronic resources : Monograph/item
Title/Author:	Recent advances in data and algorithms for e-government/ edited by Christophe Gaie, Mayuri Mehta.
other author:	Gaie, Christophe.
Published:	Cham :Springer International Publishing : : 2023.,
Description:	xiii, 234 p. :ill., digital ;24 cm.
[NT 15003449]:	Conceptual Model and Data algorithm for Modernization of E-governance towards Sustainable E-Government Services -- E-School Initiatives that Instigated the Digital Transformation of Education: A Case Study according to SABER-ICT Framework -- New Architecture to facilitate the expansion of E-Government -- Struggling against tax fraud, a holistic approach using artificial intelligence -- e-Government and Green IT: the intersection point -- Machine Learning Technique for Predicting the Rural Citizens' Trust on using E-Governance Health Care Applications during COVID-19 -- Artificial Intelligence (AI) Use for e-Governance in Agriculture: Exploring the Bioeconomy Landscape -- Enhancing government actions against Covid-19 using computer science -- From paper to digital: e-government's evolution and pitfalls in Brazil -- The role of public libraries in improving public literacy through Twitter social media in Indonesia.
Contained By:	Springer Nature eBook
Subject:	Internet in public administration. -
Online resource:	https://doi.org/10.1007/978-3-031-22408-9
ISBN:	9783031224089

Recent advances in data and algorithms for e-government
Recent advances in data and algorithms for e-government[electronic resource] /edited by Christophe Gaie, Mayuri Mehta. - Cham :Springer International Publishing :2023. - xiii, 234 p. :ill., digital ;24 cm. - Artificial intelligence-enhanced software and systems engineering,v. 52731-6033 ;. - Artificial intelligence-enhanced software and systems engineering ;v. 5..

Conceptual Model and Data algorithm for Modernization of E-governance towards Sustainable E-Government Services -- E-School Initiatives that Instigated the Digital Transformation of Education: A Case Study according to SABER-ICT Framework -- New Architecture to facilitate the expansion of E-Government -- Struggling against tax fraud, a holistic approach using artificial intelligence -- e-Government and Green IT: the intersection point -- Machine Learning Technique for Predicting the Rural Citizens' Trust on using E-Governance Health Care Applications during COVID-19 -- Artificial Intelligence (AI) Use for e-Governance in Agriculture: Exploring the Bioeconomy Landscape -- Enhancing government actions against Covid-19 using computer science -- From paper to digital: e-government's evolution and pitfalls in Brazil -- The role of public libraries in improving public literacy through Twitter social media in Indonesia.

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 the ongoing modernization of public services.

ISBN: 9783031224089

Standard No.: 10.1007/978-3-031-22408-9doiSubjects--Topical Terms:

738137
Internet in public administration.

LC Class. No.: JF1525.A8 / R43 2023

Dewey Class. No.: 350.000285

Recent advances in data and algorithms for e-government
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505 0 $a Conceptual Model and Data algorithm for Modernization of E-governance towards Sustainable E-Government Services -- E-School Initiatives that Instigated the Digital Transformation of Education: A Case Study according to SABER-ICT Framework -- New Architecture to facilitate the expansion of E-Government -- Struggling against tax fraud, a holistic approach using artificial intelligence -- e-Government and Green IT: the intersection point -- Machine Learning Technique for Predicting the Rural Citizens' Trust on using E-Governance Health Care Applications during COVID-19 -- Artificial Intelligence (AI) Use for e-Governance in Agriculture: Exploring the Bioeconomy Landscape -- Enhancing government actions against Covid-19 using computer science -- From paper to digital: e-government's evolution and pitfalls in Brazil -- The role of public libraries in improving public literacy through Twitter social media in Indonesia.
520 $a 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 the ongoing modernization of public services.
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650 1 4 $a Data Engineering. $3 3409361
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence. $3 769149
700 1 $a Gaie, Christophe. $3 3629132
700 1 $a Mehta, Mayuri. $3 3590498
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830 0 $a Artificial intelligence-enhanced software and systems engineering ; $v v. 5. $3 3629133
856 4 0 $u https://doi.org/10.1007/978-3-031-22408-9
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)