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| Autore: |
Cuzzocrea Alfredo
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| Titolo: |
Data Management Technologies and Applications [[electronic resource] ] : 10th International Conference, DATA 2021, Virtual Event, July 6–8, 2021, and 11th International Conference, DATA 2022, Lisbon, Portugal, July 11-13, 2022, Revised Selected Papers / / edited by Alfredo Cuzzocrea, Oleg Gusikhin, Slimane Hammoudi, Christoph Quix
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| Pubblicazione: | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Edizione: | 1st ed. 2023. |
| Descrizione fisica: | 1 online resource (256 pages) |
| Disciplina: | 005.7 |
| Soggetto topico: | Database management |
| Application software | |
| Education—Data processing | |
| Social sciences—Data processing | |
| Computers, Special purpose | |
| Microprogramming | |
| Database Management | |
| Computer and Information Systems Applications | |
| Computers and Education | |
| Computer Application in Social and Behavioral Sciences | |
| Special Purpose and Application-Based Systems | |
| Control Structures and Microprogramming | |
| Altri autori: |
GusikhinOleg
HammoudiSlimane
QuixChristoph
|
| Nota di contenuto: | Papers -- A Survey-based Evaluation of the Data Engineering Maturity in Practice -- Automating Data Quality Monitoring with Reference Data Profiles -- Towards Comparable Ratings: Quantifying Evaluative Phrases in Physician Reviews -- SubTempora: A Hybrid Approach for Optimising Subgraph Searching -- Exploring Instagram and Youtube Data to Extract User Insights: The Greek Paradigm -- Automatic Detection of Facial Landmarks for Denture Models -- Combining Image and Text Matching for Product Classification in Retail -- Automatic Sentiment Labelling of Multimodal Data -- From Cracked Accounts to Fake IDs: User Profiling on German Telegram Black Market Channels -- Data Mining and Machine Learning to Predict the Sulphur Content in the Hot Metal of a Coke-Fired Blast Furnace -- Automatic Instructional Feedback, and a Lecture Hub System: A Strategy towards Nurturing the Acquisition of a Structured Engagement Behavior. |
| Sommario/riassunto: | This book constitutes the refereed post-proceedings of the 10th International Conference and 11th International Conference on Data Management Technologies and Applications, DATA 2021 and DATA 2022, was held virtually due to the COVID-19 crisis on July 6–8, 2021 and in Lisbon, Portugal on July 11-13, 2022. The 11 full papers included in this book were carefully reviewed and selected from 148 submissions. They were organized in topical sections as follows: engineers and practitioners interested on databases, big data, data mining, data management, data security and other aspects of information systems and technology involving advanced applications of data. |
| Titolo autorizzato: | Data Management Technologies and Applications ![]() |
| ISBN: | 3-031-37890-3 |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 996546838203316 |
| Lo trovi qui: | Univ. di Salerno |
| Opac: | Controlla la disponibilità qui |