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
Herausgegeben:Cuzzocrea, Alfredo; Gusikhin, Oleg; Hammoudi, Slimane; Quix, Christoph

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Communications in Computer and Information Science 1860
• Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
• Artikelnr. des Verlages: 978-3-031-37889-8
• 1st ed. 2023
• Seitenzahl: 260
• Erscheinungstermin: 23. Juli 2023
• Englisch
• Abmessung: 235mm x 155mm x 15mm
• Gewicht: 400g
• ISBN-13: 9783031378898
• ISBN-10: 303137889X
• Artikelnr.: 68189517

Inhaltsangabe

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.