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Transactions on Large-Scale Data- and Knowledge-Centered Systems XI [electronic resource] : Special Issue on Advanced Data Stream Management and Continuous Query Processing / edited by Abdelkader Hameurlain, Josef Küng, Roland Wagner, Bernd Amann, Philippe Lamarre.

Contributor(s): Hameurlain, Abdelkader [editor.] | Küng, Josef [editor.] | Wagner, Roland [editor.] | Amann, Bernd [editor.] | Lamarre, Philippe [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Transactions on Large-Scale Data- and Knowledge-Centered Systems: 8290Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013Edition: 1st ed. 2013.Description: X, 127 p. 37 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642452697.Subject(s): Database management | Data mining | Database Management | Data Mining and Knowledge DiscoveryAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 005.74 Online resources: Click here to access online
Contents:
ASSIST: Access Controlled Ship Identification Streams -- The HIT Model: Workflow-Aware Event Stream Monitoring -- P-Bench: Benchmarking in Data-Centric Pervasive Application Development -- Efficient Mining of Lag Patterns in Evolving Time Series -- On the Power of the Adversary to Solve the Node Sampling Problem.
In: Springer Nature eBookSummary: This, the 11th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains five selected papers focusing on Advanced Data Stream Management and Processing of Continuous Queries. The contributions cover different methods for avoiding unauthorized access to streaming data, modeling complex real-time behavior of stream processing applications, comparing different event-centric and data-centric platforms for the development of applications in pervasive environments, capturing localized repeated associative relationships from multiple time series, and obtaining uniform and fresh sampling strategies over input data streams generated by large open systems containing malicious participants.
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ASSIST: Access Controlled Ship Identification Streams -- The HIT Model: Workflow-Aware Event Stream Monitoring -- P-Bench: Benchmarking in Data-Centric Pervasive Application Development -- Efficient Mining of Lag Patterns in Evolving Time Series -- On the Power of the Adversary to Solve the Node Sampling Problem.

This, the 11th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains five selected papers focusing on Advanced Data Stream Management and Processing of Continuous Queries. The contributions cover different methods for avoiding unauthorized access to streaming data, modeling complex real-time behavior of stream processing applications, comparing different event-centric and data-centric platforms for the development of applications in pervasive environments, capturing localized repeated associative relationships from multiple time series, and obtaining uniform and fresh sampling strategies over input data streams generated by large open systems containing malicious participants.

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