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Recent Advances in Data and Algorithms for e-Government

Overview of attention for book
Cover of 'Recent Advances in Data and Algorithms for e-Government'

Table of Contents

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    Book Overview
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    Chapter 1 Conceptual Model and Data Algorithm for Modernization of e-Governance Towards Sustainable e-Government Services
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    Chapter 2 e-School Initiatives that Instigated Digital Transformation in Education: A Case Study According to SABER-ICT Framework
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    Chapter 3 New Architecture to Facilitate the Expansion of e-Government
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    Chapter 4 Struggling Against Tax Fraud, a Holistic Approach Using Artificial Intelligence
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    Chapter 5 e-Government and Green IT: The Intersection Point
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    Chapter 6 Machine Learning Technique for Predicting the Rural Citizens’ Trust on Using e-Governance Health Care Applications During COVID-19
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    Chapter 7 Artificial Intelligence (AI) Use for e-Governance in Agriculture: Exploring the Bioeconomy Landscape
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    Chapter 8 Enhancing Government Actions Against Covid-19 Using Computer Science
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    Chapter 9 From Paper to Digital: e-Government’s Evolution and Pitfalls in Brazil
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    Chapter 10 The Role of Public Libraries in Improving Public Literacy Through Twitter Social Media in Indonesia
Attention for Chapter 10: The Role of Public Libraries in Improving Public Literacy Through Twitter Social Media in Indonesia
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Readers on

mendeley
4 Mendeley
Summary
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Chapter title
The Role of Public Libraries in Improving Public Literacy Through Twitter Social Media in Indonesia
Chapter number 10
Book title
Recent Advances in Data and Algorithms for e-Government
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-22408-9_10
Book ISBNs
978-3-03-122407-2, 978-3-03-122408-9
Authors

Machmud, Muslimin, Musa, Andi Ernie Zaenab, Suprapto, Budi, Salahudin

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Timeline

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 50%
Lecturer 1 25%
Unknown 1 25%
Readers by discipline Count As %
Social Sciences 2 50%
Arts and Humanities 1 25%
Unknown 1 25%

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