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Record Nr. |
UNINA9910993927203321 |
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Titolo |
Model and Data Engineering : 13th International Conference, MEDI 2024, Naples, Italy, November 18–20, 2024, Proceedings / / edited by Carlos Ordonez, Giancarlo Sperlì, Elio Masciari, Ladjel Bellatreche |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (XI, 248 p. 85 illus., 64 illus. in color.) |
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Collana |
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Lecture Notes in Computer Science, , 1611-3349 ; ; 15590 |
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Disciplina |
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Soggetti |
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Software engineering |
Computer networks |
Database management |
Data mining |
Machine learning |
Software Engineering |
Computer Communication Networks |
Database Management |
Data Mining and Knowledge Discovery |
Machine Learning |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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-- AI-Enabled Systems. -- Arabic Mispronunciation Detection for Children in Noisy Environments via Vision Transformers. -- BaitBlock: Hybrid AI-Approach for Phishing Detection Across Communication Platforms. -- Stacked Generalization for Overlapping Asymmetric Datasets. -- Security and Privacy. -- Reusable Formal Model Libraries for Specifying and Analyzing Security Objectives in Event-B. -- Towards Specification and Analysis of Dependable Cyber-Physical Systems. -- The Use of Domain Specific Language for Critical Infrastructures Cyber Security Modeling: Literature Review. -- A Tool-supported Methodology for Creating Security Cases Using Argument Patterns. -- Query Processing. -- In-Memory Spatial-Keyword Indexing and Querying: An Experimental Evaluation. -- Critical Role of |
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Data Transformation in Preprocessing: Methods, Algorithms, and Challenges. -- Prediction. -- Forecasting Patient Arrivals in Emergency Departments Using Time Series Prediction Models: A Research at a Tunisian Emergency Department. -- AI-Enhanced Urban Crime Prediction: Exploring the Impact of Integrating Digital Behaviour and Economic Data. -- Application of Artificial Intelligence in Minimizing Voltage Deviation using Neural Network Predictive Controller. -- Conceptual issues. -- Multilevel Hypergraph Databases Conceptual Modelling - Approaching CRUD Operations. -- A GNN-based framework for Ontology Matching. -- A New Measurement Method for Sizing the Behavioural of BPMN Models. -- Applications. -- A Multi-Label Classification Framework for Socioeconomic Insights Using Mobile Traffic and POI Data. -- Comparative Analysis of Multivariate Time Series Forecasting Methods for Modeling Plastic Extruder Behavior. -- Transferring Practitioners’ Learning Experiences to Preserve and Promote Equine Knowledge Heritage. |
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Sommario/riassunto |
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This book constitutes the refereed proceedings of the 13th International Conference on Model and Data Engineering, MEDI 2024, held in Naples, Italy, during November 18–20, 2024. The 7 full papers and 11 short papers were carefully peer reviewed and selected from 45 submissions. They were organized in topical sections as follows: AI-Enabled Systems; Security and Privacy; Query Processing; Prediction; Conceptual Issues; and Applications. |
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