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Machine Learning Paradigms : Advances in Learning Analytics / / edited by Maria Virvou, Efthimios Alepis, George A. Tsihrintzis, Lakhmi C. Jain
| Machine Learning Paradigms : Advances in Learning Analytics / / edited by Maria Virvou, Efthimios Alepis, George A. Tsihrintzis, Lakhmi C. Jain |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (230 pages) |
| Disciplina | 371.334 |
| Collana | Intelligent Systems Reference Library |
| Soggetto topico |
Computational intelligence
Artificial intelligence Learning Instruction Data mining Computational Intelligence Artificial Intelligence Learning & Instruction Data Mining and Knowledge Discovery |
| ISBN | 3-030-13743-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910484339003321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Privacy and Data Protection Challenges in the Distributed Era
| Privacy and Data Protection Challenges in the Distributed Era |
| Autore | Politou Eugenia |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2021 |
| Descrizione fisica | 1 online resource (195 pages) |
| Altri autori (Persone) |
AlepisEfthimios
VirvouMaria PatsakisConstantinos |
| Collana | Learning and Analytics in Intelligent Systems Ser. |
| Soggetto genere / forma | Electronic books. |
| ISBN | 3-030-85443-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Series Editor's Foreword -- References -- Preface -- Contents -- Acronyms -- 1 Introduction -- 1.1 Book Objectives -- 1.2 Book Structure -- References -- 2 Privacy and Personal Data Protection -- 2.1 Introduction -- 2.2 The Value of Personal Data -- 2.3 The Value of Data Privacy -- 2.4 The Rights to Privacy and to Data Protection -- 2.5 Privacy in the Tax and Financial Domain -- References -- 3 The General Data Protection Regulation -- 3.1 Introduction -- 3.2 Introduction to the GDPR -- 3.3 The GDPR Data Protection Principles -- 3.4 Consent and Revocation -- 3.4.1 Consent Misuses -- 3.4.2 Consent Under the GDPR -- 3.4.3 Current Efforts for Revoking Consent -- 3.5 The Right to be Forgotten -- 3.5.1 Forgetting and the Need to be Forgotten -- 3.5.2 About the CJEU Decision -- 3.5.3 The Right to be Forgotten Under the GDPR -- References -- 4 The ``Right to Be Forgotten'' in the GDPR: Implementation Challenges and Potential Solutions -- 4.1 Introduction -- 4.2 Implementation Challenges -- 4.3 The Impact of the GDPR on Backups and Archives -- 4.3.1 GDPR Provisions for Backups and Archives -- 4.3.2 The Process of Backing up -- 4.3.3 IT Security Standards for Backup Procedures -- 4.3.4 Impact Analysis of Implementing the RtbF on Backups -- 4.4 Towards GDPR Compliance -- References -- 5 State-of-the-Art Technological Developments -- 5.1 Introduction -- 5.2 Mobile Ubiquitous Computing -- 5.2.1 Affective Computing -- 5.2.2 Mobile Affective Computing and Ubiquitous Sensing -- 5.3 Decentralized p2p Networks -- 5.3.1 Blockchain -- 5.3.2 Decentralized Storage and File Sharing -- References -- 6 Privacy in Ubiquitous Mobile Computing -- 6.1 Introduction -- 6.2 Privacy Risks in Mobile Computing -- 6.2.1 Privacy and Big Data -- 6.2.2 Informed Consent -- 6.2.3 Risk of Re-Identification -- 6.2.4 Risk of Profiling.
6.2.5 The Risks of Tax and Financial Profiling -- 6.2.6 Towards Accountable, Transparent and Fairer Profiling and Automated Decision Making -- 6.3 Mitigating Privacy Risks Under the GDPR -- 6.3.1 Profiling and Automated Decision Making Under the GDPR -- 6.3.2 Implementation Challenges and Countermeasures -- 6.3.3 The Future of Big Data Profiling Under the GDPR -- References -- 7 Privacy in Blockchain -- 7.1 Introduction -- 7.2 Blockchain Privacy -- 7.3 Blockchain's Immutability and the ``Right to Be Forgotten'' -- 7.4 Current Efforts for Balancing Immutability and the RtbF -- 7.4.1 Bypassing Blockchain's Immutability -- 7.4.2 Removing Blockchain's Immutability -- 7.5 The Controversy -- References -- 8 Implementing Content Erasure in IPFS -- 8.1 Introduction -- 8.2 Storing Off-Chain Personal Data in the IPFS -- 8.3 Erasing Content in IPFS -- 8.4 The Requirement for Total Content Erasure -- 8.5 Towards Aligning IPFS with the RtbF -- 8.6 The Proposed Protocol -- 8.6.1 Assumptions and Desiderata -- 8.6.2 Threat Model -- 8.6.3 IPFS Delegated Erasure Protocol -- 8.6.4 Security Proof -- 8.6.5 Protocol Efficiency -- 8.6.6 Limitations and Countermeasures -- References -- 9 Privacy in the COVID-19 Era -- 9.1 Introduction -- 9.2 Contact Tracing Apps -- 9.3 Immunity Passports -- 9.4 Privacy and Data Protection in the Pandemic -- 9.5 Conclusions -- References -- 10 Open Questions and Future Directions -- 10.1 Introduction -- 10.1.1 Forgetting Implementation Standards -- 10.1.2 Big Data Analytics -- 10.1.3 Backups and Archives -- 10.1.4 Blockchain -- 10.1.5 IPFS and Other Decentralized P2p File Storage Systems -- References -- 11 Conclusions -- 11.1 Introduction -- References. |
| Record Nr. | UNINA-9910506403603321 |
Politou Eugenia
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| Cham : , : Springer International Publishing AG, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Smart Tourism-The Impact of Artificial Intelligence and Blockchain
| Smart Tourism-The Impact of Artificial Intelligence and Blockchain |
| Autore | Kontogianni Aristea |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2024 |
| Descrizione fisica | 1 online resource (192 pages) |
| Altri autori (Persone) |
AlepisEfthimios
VirvouMaria PatsakisConstantinos |
| Collana | Intelligent Systems Reference Library |
| ISBN | 3-031-50883-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Foreword -- References -- Preface -- Contents -- Acronyms -- List of Figures -- List of Tables -- 1 Introduction -- 1.1 Research Objectives -- 1.2 Book Structure -- References -- 2 Conceptualizing Smart Tourism -- 2.1 Introduction -- 2.2 Methodology and Research Approach -- 2.3 Key Concepts and Approaches -- 2.3.1 Theoretical Contribution and Literature Review -- 2.3.2 Context Awareness -- 2.3.3 Cultural Heritage -- 2.3.4 Recommender Systems -- 2.3.5 Social Media -- 2.3.6 Internet of Things -- 2.3.7 User Experience -- 2.3.8 Real Time -- 2.3.9 User Modelling -- 2.3.10 Augmented Reality -- 2.3.11 Artificial Intelligence -- 2.3.12 Big Data -- 2.3.13 Cyber Tourism -- 2.3.14 Privacy and Data Protection -- 2.3.15 Blockchain -- References -- 3 Mobile Applications in Smart Tourism and Smart Cities Based on Crowdsourcing -- 3.1 Smart Cities -- 3.2 Crowdsourcing: State of the Art -- 3.3 Implementing Crowdsourcing in the Context of Smart Cities -- 3.3.1 Mobile Crowdsourcing Application for Data Sharing -- 3.3.2 Mobile Crowdsourcing Application for Signal Measuring -- 3.4 Smartphone Crowdsourcing and Data Sharing Towards … -- 3.4.1 Problem Setting and Inspiration -- 3.4.2 System Architecture -- References -- 4 Mobile Applications in Smart Tourism: Implementing User Modelling -- 4.1 User Modelling: History & -- State of Art -- 4.2 Smart Tourism Through Social Network User Modeling -- 4.3 Implementing User Modeling Utilising Implicit User Data -- 4.3.1 Facebook -- 4.3.2 Instagram -- 4.3.3 Alternative Social Networking Applications for User Modelling -- 4.3.4 Smartphone Context Awareness -- 4.3.5 Semantic Web Technologies for Data Filtering -- 4.3.6 Realizing Personalization: Application of the Analytic Hierarchy Process -- 4.3.7 ProfileMe Framework: Research Overview -- 4.4 Artificial Intelligence & -- User Modelling -- References.
5 Artificial Intelligence in Smart Tourism -- 5.1 Introduction -- 5.2 Artificial Intelligence -- 5.3 AI Autonomous Agents -- 5.4 AI Smart Tourism Recommender Systems -- References -- 6 Implementing Machine Learning for Smart Tourism Frameworks -- 6.1 Introduction -- 6.2 Moments of Interest: A Smart Tourism Crowdsourcing Application -- 6.2.1 Inspiration -- 6.2.2 Moments of Interest: The Concept -- 6.2.3 MOIs System Architecture -- 6.2.4 Background Deep Learning Processing -- 6.2.5 Conclusion -- 6.3 Promoting Smart Tourism Personalised Services via a Combination … -- 6.3.1 Inspiration -- 6.3.2 Artificial Neural Networks -- 6.3.3 Background Deep Learning Approaches -- 6.3.4 Framework Architecture -- 6.3.5 Model Development and Evaluation -- 6.3.6 Conclusions and Future Directions -- References -- 7 Smart Tourism Embraces Blockchain -- 7.1 Introduction -- 7.2 The Blockchain Data Structure -- 7.3 Types of Blockchains and Consensus Protocols -- 7.4 Blockchain: Enabling the Smart Tourism Era -- 7.4.1 Blockchain Enabled Services -- 7.4.2 Blockchain Applications in Smart Tourism -- 7.5 Proposed System Architecture -- 7.5.1 Blockchain Module -- 7.5.2 AI Recommendations, Context Awareness and Cybertourism -- References -- 8 Paving the Way for the Post-COVID-19 Era -- 8.1 Literature Review and Critical Analysis -- References -- 9 Open Questions and Future Directions -- 9.1 Introduction -- 9.1.1 Applications -- 9.1.2 Artificial Intelligence -- 9.1.3 Blockchain -- 9.1.4 Big Data -- 9.1.5 Cyber Tourism and Metaverse -- 9.1.6 Ethical and Privacy Considerations -- 9.1.7 Social and Cultural Implications -- 9.1.8 Government Initiatives -- References -- 10 Conclusions -- References. |
| Record Nr. | UNINA-9910831015903321 |
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Kontogianni Aristea
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| Cham : , : Springer International Publishing AG, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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