Data Management Technologies and Applications -

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
Buch | Softcover
XIV, 243 Seiten
2023 | 1st ed. 2023
Springer International Publishing (Verlag)
978-3-031-37889-8 (ISBN)
80,24 inkl. MwSt

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.

Erscheinungsdatum
Reihe/Serie Communications in Computer and Information Science
Zusatzinfo XIV, 243 p. 112 illus., 84 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 403 g
Themenwelt Mathematik / Informatik Informatik Datenbanken
Schlagworte Artificial Intelligence • Business Process Management (BPM) • Computer systems • Correlation Analysis • Databases • Data handling • data integration • Data Mining • information systems • machine learning • Semantics • Signal Processing • Software engineering
ISBN-10 3-031-37889-X / 303137889X
ISBN-13 978-3-031-37889-8 / 9783031378898
Zustand Neuware
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