Overview
- Contains detailed papers on data management and systems
- Topics range from scalable schema discovery to load shedding and selectivity estimation using linked Bayesian networks
- Covers genomic data management and medical data cloud federations
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12410)
Part of the book sub series: Transactions on Large-Scale Data- and Knowledge-Centered Systems (TLDKS)
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About this book
The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing (e.g., computing resources, services, metadata, data sources) across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability.
This, the 46th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains six fully revised selected regular papers. Topics covered include an elastic framework for genomic data management, medical data cloud federations, temporal pattern mining, scalable schema discovery, load shedding, and selectivity estimation using linked Bayesian networks.
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Keywords
Table of contents (6 chapters)
Editors and Affiliations
Bibliographic Information
Book Title: Transactions on Large-Scale Data- and Knowledge-Centered Systems XLVI
Editors: Abdelkader Hameurlain, A Min Tjoa
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-662-62386-2
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag GmbH Germany, part of Springer Nature 2020
Softcover ISBN: 978-3-662-62385-5Published: 20 November 2020
eBook ISBN: 978-3-662-62386-2Published: 20 November 2020
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: VII, 189
Number of Illustrations: 22 b/w illustrations, 42 illustrations in colour
Topics: Database Management, Artificial Intelligence, Statistics, general