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Transactions on Large-Scale Data- and Knowledge-Centered Systems L [electronic resource] /

Contributor(s): Material type: TextTextSeries: Transactions on Large-Scale Data- and Knowledge-Centered Systems ; 12930Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2021Edition: 1st ed. 2021Description: VII, 117 p. 32 illus., 26 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783662645536
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 005.3 23
LOC classification:
  • QA76.76.A65
Online resources:
Contents:
A Parallel Quasi-identifier Discovery Scheme for Dependable Data Anonymisation -- Towards Symbolic Time Series Representation Improved by Kernel Density Estimators -- Anomaly Detection in Time Series -- Designing Intelligent Marine Framework Based on Complex Adaptive System Principle -- Data Item Quality for Biobanks.
In: Springer Nature eBookSummary: 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.
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A Parallel Quasi-identifier Discovery Scheme for Dependable Data Anonymisation -- Towards Symbolic Time Series Representation Improved by Kernel Density Estimators -- Anomaly Detection in Time Series -- Designing Intelligent Marine Framework Based on Complex Adaptive System Principle -- Data Item Quality for Biobanks.

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.

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