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Data Management Technologies and Applications: 10th International Conference, DATA 2021, Virtual Event, July 68, 2021, and 11th International Conference, DATA 2022, Lisbon, Portugal, July 11-13, 2022, Revised Selected Papers 1st ed. 2023 [Minkštas viršelis]

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  • Formatas: Paperback / softback, 243 pages, aukštis x plotis: 235x155 mm, weight: 403 g, 84 Illustrations, color; 28 Illustrations, black and white; XIV, 243 p. 112 illus., 84 illus. in color., 1 Paperback / softback
  • Serija: Communications in Computer and Information Science 1860
  • Išleidimo metai: 23-Jul-2023
  • Leidėjas: Springer International Publishing AG
  • ISBN-10: 303137889X
  • ISBN-13: 9783031378898
  • Formatas: Paperback / softback, 243 pages, aukštis x plotis: 235x155 mm, weight: 403 g, 84 Illustrations, color; 28 Illustrations, black and white; XIV, 243 p. 112 illus., 84 illus. in color., 1 Paperback / softback
  • Serija: Communications in Computer and Information Science 1860
  • Išleidimo metai: 23-Jul-2023
  • Leidėjas: Springer International Publishing AG
  • ISBN-10: 303137889X
  • ISBN-13: 9783031378898

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.
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.