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
Published on 22. July 2023
XIV, 243 pages
978-3-031-37890-4 (ISBN)
Description
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.More details
Series
Edition
1st ed. 2023
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
XIV, 243 p. 112 illus., 84 illus. in color.
File size
18,78 MB
ISBN-13
978-3-031-37890-4 (9783031378904)
DOI
10.1007/978-3-031-37890-4
Schweitzer Classification
Other editions
Additional editions
Alfredo Cuzzocrea | Oleg Gusikhin | Slimane Hammoudi
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
Book
07/2023
Springer
€85.59
Shipment within 15-20 days
Content
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.
