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

Format:

Book

Contributor:

Hameurlain, Abdelkader, editor.

Küng, Josef, editor.

Wagner, Roland, editor.

Amann, Bernd (Computer scientist), editor.

Lamarre, Philippe, 1965- editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Transactions on Large-Scale Data- and Knowledge-Centered Systems, 1869-1994 ; 8290.

Transactions on Large-Scale Data- and Knowledge-Centered Systems, 1869-1994 ; 8290

Language:

English

Subjects (All):

Database management.

Data mining.

Database Management.

Data Mining and Knowledge Discovery.

Local Subjects:

Database Management.

Data Mining and Knowledge Discovery.

Physical Description:

1 online resource (X, 127 pages) : 37 illustrations.

Edition:

First edition 2013.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.

System Details:

text file PDF

Summary:

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.

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.

Other Format:

Printed edition:

ISBN:

978-3-642-45269-7

9783642452697

Access Restriction:

Restricted for use by site license.