Transactions on Large-Scale Data- and Knowledge-Centered Systems L [E-Book] / edited by Abdelkader Hameurlain, A Min Tjoa.
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 developmen...
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Personal Name(s): | Hameurlain, Abdelkader, editor |
Tjoa, A Min, editor | |
Edition: |
1st ed. 2021. |
Imprint: |
Berlin, Heidelberg :
Springer,
2021
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Physical Description: |
VII, 117 pages 32 illustrations, 26 illustrations in color (online resource) |
Note: |
englisch |
ISBN: |
9783662645536 |
DOI: |
10.1007/978-3-662-64553-6 |
Series Title: |
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Transactions on Large-Scale Data- and Knowledge-Centered Systems ;
12930 /* Depending on the record driver, $field may either be an array with "name" and "number" keys or a flat string containing only the series name. We should account for both cases to maximize compatibility. */?> Lecture Notes in Computer Science |
Subject (LOC): |
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 50th issue of Transactions on Large-Scale Data and Knowledge-Centered Systems, contains five fully revised selected regular papers. Topics covered include data anonymization, quasi-identifier discovery methods, symbolic time series representation, detection of anomalies in time series, data quality management in biobanks, and the use of multi-agent technology in the design of intelligent systems for maritime transport. |