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Electronic government and the inform...

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Electronic government and the information systems perspective10th International Conference, EGOVIS 2021, virtual event, September 27-30, 2021 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Electronic government and the information systems perspectiveedited by Andrea Ko ... [et al.].
Reminder of title:	10th International Conference, EGOVIS 2021, virtual event, September 27-30, 2021 : proceedings /
remainder title:	EGOVIS 2021
other author:	Ko, Andrea.
corporate name:
Published:	Cham :Springer International Publishing :2021.
Description:	x, 181 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Electronic government informationCase studies.
Online resource:	https://doi.org/10.1007/978-3-030-86611-2
ISBN:	9783030866112

Electronic government and the information systems perspective10th International Conference, EGOVIS 2021, virtual event, September 27-30, 2021 : proceedings /
Electronic government and the information systems perspective10th International Conference, EGOVIS 2021, virtual event, September 27-30, 2021 : proceedings /[electronic resource] :EGOVIS 2021edited by Andrea Ko ... [et al.]. - Cham :Springer International Publishing :2021. - x, 181 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,129260302-9743 ;. - Lecture notes in computer science ;4891..

Government as a Platform? Constitutive Elements of Public Service Platforms -- A Solution to Support Integrity in the Lawful Interception Ecosystem -- Can Tech4Good Prevent Domestic Violence and Femicides? An Intelligent System Design Proposal for Restraining Order Implementations -- Toward Smart City Architecture Principles: A Cornerstone in the Case of Smart City Duisburg -- Analysing the Surface Urban Heat Island effect with Copernicus data -- Vulnerability of State-Provided Electronic Identification: The Case of ROCA in Estonia -- Transparency by default: GDPR Patterns for Agile Development -- Anonymization between minimization and erasure: The perspectives of French and Italian data protection authorities -- A Legal Framework for Digital Transformation: A Proposal based on a Comparative Case Study -- Classification and association rules in Brazilian Supreme Court judgments on pre-trial detention -- Social Security Reform in Brazil: a Twitter sentiment analysis -- Demystifying Tax Evasion Using Variational Graph Autoencoders -- Using Machine Learning for Risk Classification in Brazilian Federal Voluntary Transfers.

This volume LNCS 12926 constitutes the papers of the 10th International Conference on Electronic Government and the Information Systems Perspective, EGOVIS 2021, held in September 2021 as part of the DEXA 2021 conference. The event was held virtually due to COVID-19 pandemic. The 13 full papers presented were carefully reviewed and selected from 21 submissions and focus on information systems and ICT aspects of e-government. The papers are organized in 3 topical sections: e-government theoretical background and cases; identity management and legal issues; artificial intelligence and machine learning in e-government context.

ISBN: 9783030866112

Standard No.: 10.1007/978-3-030-86611-2doiSubjects--Topical Terms:

443402
Electronic government information
--Case studies.

LC Class. No.: QA76.9.C66

Dewey Class. No.: 004

Electronic government and the information systems perspective10th International Conference, EGOVIS 2021, virtual event, September 27-30, 2021 : proceedings /
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520 $a This volume LNCS 12926 constitutes the papers of the 10th International Conference on Electronic Government and the Information Systems Perspective, EGOVIS 2021, held in September 2021 as part of the DEXA 2021 conference. The event was held virtually due to COVID-19 pandemic. The 13 full papers presented were carefully reviewed and selected from 21 submissions and focus on information systems and ICT aspects of e-government. The papers are organized in 3 topical sections: e-government theoretical background and cases; identity management and legal issues; artificial intelligence and machine learning in e-government context.
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