UID:
almahu_9948563928202882
Umfang:
XX, 219 p. 134 illus., 26 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2020.
ISBN:
9783030548322
Serie:
Information Systems and Applications, incl. Internet/Web, and HCI ; 12245
Inhalt:
This book constitutes the proceedings of the 24th European Conference on Advances in Databases and Information Systems, ADBIS 2020, held in Lyon, France, in August 2020.* The 13 full papers presented were carefully reviewed and selected from 82 submissions. The papers cover a wide range of topics from different areas of research in database and information systems technologies and their advanced applications from theoretical foundations to optimizing index structures. They are organized in the following topical sections: keynote extended abstracts; data access and database performance; machine learning; semantic web; data processing; and data analytics. * The conference was held virtually due to the COVID-19 pandemic.
Anmerkung:
Keynote Extended Abstracts -- Blockchains and Databases: Opportunities and Challenges for the Permissioned and the Permissionless -- Processing Temporal and Time Series Data: Present State and Future Challenges -- Integrating (Very) Heterogeneous Data Sources: a Structured and an Unstructured Perspective -- Data Access and Database Performance -- Upper Bound on the Size of FP-tree -- An Efficient Index for Reachability Queries in Public Transport Networks -- Context-Free Path Querying by Kronecker Product -- Pattern Sampling in Distributed Databases.-Can We Probabilistically Generate Uniformly Distributed Relation Instances Efficiently? -- Machine Learning -- Towards Proximity Graph Auto-Configuration: an Approach Based on Meta-Learning -- Fake News Detection Based on Subjective Opinions -- Improving on Coalitional Prediction Explanation -- Data Processing -- JSON Functionally -- Semantic Web -- Template-Based Multi-Solution for Data-to-Text Generation (on RDF) -- Distributed Tree-Pattern Matching in Big Data Analytics Systems -- Data Analytics -- Iterations and Propensity Score Matching in MonetDB -- The Tell-Tale Cube.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9783030548315
Weitere Ausg.:
Printed edition: ISBN 9783030548339
Sprache:
Englisch
DOI:
10.1007/978-3-030-54832-2
URL:
https://doi.org/10.1007/978-3-030-54832-2
