Data Management Technologies and Applications
8th International Conference, DATA 2019, Prague, Czech Republic, July 26-28, 2019, Revised Selected Papers
Published on 30. July 2020
Book
Paperback/Softback
XI, 157 pages
978-3-030-54594-9 (ISBN)
Description
This book constitutes the thoroughly refereed proceedings of the 8th International Conference on Data Management Technologies and Applications, DATA 2019, held in Prague, Czech Republic, in July 2019. The 8 revised full papers were carefully reviewed and selected from 90 submissions. The papers deal with the following topics: decision support systems, data analytics, data and information quality, digital rights management, big data, knowledge management, ontology engineering, digital libraries, mobile databases, object-oriented database systems, and data integrity.
More details
Series
Edition
1st ed. 2020
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
28 s/w Abbildungen, 38 farbige Abbildungen
XI, 157 p. 66 illus., 38 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 10 mm
Weight
271 gr
ISBN-13
978-3-030-54594-9 (9783030545949)
DOI
10.1007/978-3-030-54595-6
Schweitzer Classification
Other editions
Additional editions
Slimane Hammoudi | Christoph Quix | Jorge Bernardino
Data Management Technologies and Applications
8th International Conference, DATA 2019, Prague, Czech Republic, July 26-28, 2019, Revised Selected Papers
E-Book
07/2020
Springer
€53.49
Available for download
Persons
Content
Explainable and Transferrable Text Categorization.- Dealing with Critical Issues in Emails: A Comparison of Approachesfor Sentiment Analysis.- Industry 4.0: Sensor Data Analysis using Machine Learning.- Scalable Architecture, Storage and Visualization Approaches for Time Series Analysis Systems .- Optimizing Steering of Roaming Traffic with A-number Billing under a Rolling Horizon Policy.- A Web-based Decision Support System for Quality Prediction in Manufacturing using Ensemble of Regressor Chains.- Farm Area Segmentation in Satellite Images using DeepLabv3+ Neural Networks.- About the Fairness of Database Performance Comparisons.