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[null,"1.","Record Nr.",null,"UNISA996464515603316"]
[null,null,"Titolo",null,"Electronic government and the information systems perspective : 10th international conference, EGOVIS 2021 virtual event, September 27-30, 2021 : proceedings / / Andrea Kö [and four others], (editors)"]
[null,null,"Pubbl/distr/stampa",null,"Cham, Switzerland : , : Springer, , [2021]"]
[{"$nulls":4},"©2021"]
[null,null,"ISBN",null,"3-030-86611-4"]
[null,null,"Descrizione fisica",null,"1 online resource (186 pages)"]
[null,null,"Collana",null,"Lecture notes in computer science ; ; 12926"]
[null,null,"Disciplina",null,"352.3802854678"]
[null,null,"Soggetti",null,"Internet in public administration"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Intro -- Preface -- Organization -- Contents -- e-Government Theoretical Background and Cases -- Government as a Platform? Constitutive Elements of Public Service Platforms -- 1 Introduction -- 2 Related Literature -- 2.1 Digital Platforms in Public Sector Service Provision -- 2.2 Constitutive Platform Aspects -- 3 A Public Service Platform Concept -- 3.1 Platform Ecosystem -- 3.2 Platform Architecture -- 3.3 Platform Governance -- 4 Public Platforms in Federal States -- 5 Discussion -- 6 Conclusion -- References -- A Solution to Support Integrity in the Lawful Interception Ecosystem -- 1 Introduction -- 2 Related Work -- 3 Background -- 4 A Message-Authentication-Code-Based Technique -- 5 The Proposed Solution -- 6 Security Analysis -- 7 Conclusions -- References -- Can Tech4Good Prevent Domestic Violence and Femicides? An Intelligent System Design Proposal for Restraining Order Implementations -- 1 Introduction -- 2 Literature Review -- 2.1 Domestic Violence Against Women -- 2.2 Femicides Despite Restraining Orders: Location is the Key -- 2.3 The Attitude of Violators Against Restraining Orders -- 3 Current System in Turkey -- 4 An Intelligent System Design Proposal for Predicting and Preventing Domestic Violence Against Women -- 4.1 Use Case Diagrams of the System Modules -- 5 Conclusion -- References -- Toward Smart City Architecture Principles: A Cornerstone in the Case of Smart City Duisburg -- 1 Introduction -- 2 Conceptual Foundations -- 2.1 Smart Cities and Digital Transformation -- 2.2 Architecture Principles -- 3 Research Design -- 3.1 Our Action Design Research Approach -- 3.2 The Case of Smart City Duisburg -- 4 Results -- 4.1 "]
[{"$nulls":4},"Architecture Principles -- 4.2 Smart City Architect Role -- 4.3 Smart City Enterprise Architecture Governance Structures -- 5 Discussion and Conclusion -- References."]
[{"$nulls":4},"Analysing the Surface Urban Heat Island Effect with Copernicus Data -- 1 Introduction -- 2 Copernicus-Based UHI Analysis -- 2.1 Application Scenario -- 2.2 Genoa SUHI Workflow -- 3 Discussion -- 4 Conclusions and Future Works -- References -- Vulnerability of State-Provided Electronic Identification: The Case of ROCA in Estonia -- 1 Introduction -- 2 Research Design and Method -- 3 Background -- 3.1 The Estonian eID Ecosystem -- 3.2 About the Security Vulnerability -- 3.3 Theoretical Background -- 4 Research Results -- 4.1 Theme ``State and Policies'' -- 4.2 Theme ``Market and the EU'' -- 4.3 Theme ``End User'' -- 5 Discussion -- 6 Conclusion -- References -- Identity Management and Legal Issues -- Transparency by Default: GDPR Patterns for Agile Development -- 1 Introduction -- 2 Background and Related Works -- 3 Methodology and Patterns -- 3.1 Transparency Patterns -- 3.2 Applying the Patterns -- 4 Evaluation -- 5 Discussion and Concluding Remarks -- References -- Anonymization Between Minimization and Erasure: The Perspectives of French and Italian Data Protection Authorities -- 1 Introduction -- 2 The Approach of the French Data Protection Authority: The Commission Nationale de l'Informatique et des Libertés -- 3 The Approach of the Italian Data Protection Authority (Garante per la Protezione dei Dati Personali) -- 4 A Comparative Conclusion -- References -- A Legal Framework for Digital Transformation: A Proposal Based on a Comparative Case Study -- 1 Introduction -- 2 Research Methodology -- 3 Digital Transformation of Courts -- 3.1 Implementation of the Court Information System in Estonia -- 3.2 Implementation of the Court Information System in the KRI -- 4 Digital Transformation of Governments -- 4.1 e-Government -- 4.2 e-Government in Estonia -- 4.3 e-Government in the KRI -- 5 Digital Transformation and Relevant Legislation."]
[{"$nulls":4},"5.1 The Case of Estonia -- 5.2 The Case of the KRI -- 6 Findings -- 6.1 Domain-Specific Laws -- 6.2 General e-Government Laws -- 7 Conclusion -- References -- Artificial Intelligence and Machine Learning in E-Government Context -- Classification and Association Rules in Brazilian Supreme Court Judgments on Pre-trial Detention -- 1 Introduction -- 2 Background -- 2.1 Pre-trial Detention and Habeas Corpus in Brazilian Law -- 2.2 Machine Learning Tasks: Classification and Association Rules -- 3 Related Works -- 4 Methodology -- 4.1 Dataset: Collection and Attribute Extraction -- 4.2 Text Preprocessing -- 4.3 Text Representation -- 4.4 Classification Models -- 4.5 Association Rules Model -- 5 Classification Results and Discussion -- 6 Association Results and Discussion -- 7 Conclusion and Future Work -- References -- Social Security Reform in Brazil: A Twitter Sentiment Analysis -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data Collection -- 3.2 Data Preprocessing -- 3.3 Labeled Database -- 3.4 Classifier Evaluation -- 4 Results and Discussion -- 5 Conclusion -- References -- Demystifying Tax Evasion Using Variational Graph Autoencoders -- 1 Introduction -- 1.1 Goods and Services Tax -- 1.2 Tax Evasion -- 1.3 Our Contribution -- 2 Related Work -- 3 Description of Data Set -- 3.1 GSTR-1 -- 3.2 GSTR-3B -- 4 Autoencoder -- 4.1 Variational Autoencoders -- 4.2 Graph Autoencoders -- 5 Methodology -- 5.1 Correlation Parameters -- 5.2 Ratio Parameters -- 5.3 Clustering Taxpayers -- 5.4 Identifying Suspicious Taxpayers -- 6 Experimental Results and Case Study -- 6.1 Case Study -- 7 Conclusion -- References -- Using Machine Learning for Risk Classification in Brazilian Federal Voluntary Transfers -- 1 "]
[{"$nulls":4},"Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data Extraction -- 3.2 Pre-processing and Selection."]
[{"$nulls":4},"3.3 Algorithms Execution and Optimization -- 3.4 Model Validation -- 4 Results and Discussions -- 5 Conclusion -- References -- Author Index."]