Data Management Technologies and Applications
9th International Conference, DATA 2020, Virtual Event, July 7-9, 2020, Revised Selected Papers
Published on 23. July 2021
Book
Paperback/Softback
XII, 319 pages
978-3-030-83013-7 (ISBN)
Description
This book constitutes the thoroughly refereed proceedings of the 9th International Conference on Data Management Technologies and Applications, DATA 2020, which was supposed to take place in Paris, France, in July 2020. Due to the Covid-19 pandemic the event was held virtually.
The 14 revised full papers were carefully reviewed and selected from 70 submissions. The papers deal with the following topics: datamining; 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; data integrity.
The 14 revised full papers were carefully reviewed and selected from 70 submissions. The papers deal with the following topics: datamining; 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; data integrity.
More details
Series
Edition
1st ed. 2021
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
26 s/w Abbildungen, 72 farbige Abbildungen
XII, 319 p. 98 illus., 72 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 19 mm
Weight
505 gr
ISBN-13
978-3-030-83013-7 (9783030830137)
DOI
10.1007/978-3-030-83014-4
Schweitzer Classification
Other editions
Additional editions
Slimane Hammoudi | Christoph Quix | Jorge Bernardino
Data Management Technologies and Applications
9th International Conference, DATA 2020, Virtual Event, July 7-9, 2020, Revised Selected Papers
E-Book
07/2021
Springer
€53.49
Available for download
Persons
Content
Removing Operational Friction using Process Mining: Challenges Provided by the Internet of Production (IoP).- Efficient Scheduling of Scientifc Workflow Actions in the Cloud based on Required Capabilities.- iTLM-Q: A Constraint-based Q-learning Approach for Intelligent Traffc Light Management.- Open Data in the Enterprise Context: Assessing Open Corporate Data's Readiness for Use.- A Data Science Approach to Explain a Complex Team Ball Game.- Intelligent Public Procurement Monitoring System Powered by Text Mining and Balanced Indicators.- Catalog Integration of Heterogeneous and Volatile Product Data.- Designing an Efficient Gradient Descent based Heuristic for Clusterwise Linear Regression for Large Datasets.- A Policy-agnostic Programming Language for the International Data Spaces.- Coreset-based Data Compression for Logistic Regression.- Product Classification using Partially Abbreviated Product Names, Brands and Dimensions.- An Environmental Study of French Neighbourhoods.- Phenomena Explanation from Text: Unsupervised Learning of Interpretable and Statistically Significant Knowledge.