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Data Management Technologies and Applications : 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

Material type: materialTypeLabelE-bookSeries: (Communications in Computer and Information Science, 1865-0937 ; 1860).Publisher: Cham : Springer Nature Switzerland , 2023Edition: 1st ed 2023.Description: 1 recurso en línea.ISBN: 9783031378904.Subject: Sistemas de gestión de bases de datos -- Congresos y asambleas | Data mining -- Congresos y asambleasOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
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.
Summary: 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.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería QA76.9 .D3 2023 EB (Browse shelf(Opens below)) Acceso electrónico eBook04012598
Total holds: 0

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.

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.

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