An Algebra for Pattern Matching, Time-aware Aggregates and Partitions on Relational Data Streams

Herbst S, Pollner TN, Tenschert J, Lauterwald F, Endler G, Meyer-Wegener K (2015)

Publication Language: English

Publication Type: Conference contribution, Original article

Publication year: 2015

Publisher: ACM

Series: DEBS '15

City/Town: New York, NY, USA

Pages Range: 140-149

Conference Proceedings Title: DEBS '15 Proceedings of the 9th ACM International Conference on Distributed Event-Based Systems

Event location: Oslo

ISBN: 978-1-4503-3286-6

DOI: 10.1145/2675743.2771830

Authors with CRIS profile

Sebastian Herbst Chair for Computer Science 6 (Data Management) Thomas Niko Pollner Chair for Computer Science 6 (Data Management) Johannes Tenschert Professur für evolutionäres Datenmanagement Gregor Endler Chair for Computer Science 6 (Data Management) Klaus Meyer-Wegener Chair for Computer Science 6 (Data Management)

Related research project(s)

Cross-system Optimization of Data-stream Queries (BATS-TP3) FOR 1508: Dynamisch adaptierbare Anwendungen zur Fledermausortung mittels eingebetteter kommunizierender Sensorsysteme Aug. 1, 2012 - Dec. 31, 2018

Involved external institutions

MATHEMA Software GmbH

Germany (DE)

How to cite

APA:

Herbst, S., Pollner, T.N., Tenschert, J., Lauterwald, F., Endler, G., & Meyer-Wegener, K. (2015). An Algebra for Pattern Matching, Time-aware Aggregates and Partitions on Relational Data Streams. In DEBS '15 Proceedings of the 9th ACM International Conference on Distributed Event-Based Systems (pp. 140-149). Oslo, NO: New York, NY, USA: ACM.

MLA:

Herbst, Sebastian, et al. "An Algebra for Pattern Matching, Time-aware Aggregates and Partitions on Relational Data Streams." Proceedings of the DEBS Distributed Event-based Systems, Oslo New York, NY, USA: ACM, 2015. 140-149.

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