Sebastian Herbst
Dipl.-Inf. Sebastian Herbst
Sebastian Herbst ist seit Oktober 2018 externer Doktorand an unserem Lehrstuhl. Zuvor war er von Oktober 2012 bis September 2018 wissenschaftlicher Mitarbeiter.
Forschungsschwerpunkte
- Semantik kontinuierlicher Anfragen
- Datenfusion in universalen Stromverarbeitungssystemen
- Complex Event Processing
- Verteilte Datenstromverwaltungssysteme
- Energiegewahre Anfrageoptimierung
Publikationen
2020
Thinking small: next-generation sensor networks close the size gap in vertebrate biologging
In: Plos Biology (2020)
ISSN: 1544-9173
DOI: 10.1371/journal.pbio.3000655
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2018
BATS: Adaptive Ultra Low Power Sensor Network for Animal Tracking
In: Sensors (2018)
ISSN: 1424-8220
DOI: 10.3390/s18103343
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Crossing an OCEAN of queries: Analyzing SQL query logs with OCEANLog
30th International Conference on Scientific and Statistical Database Management, SSDBM 2018
DOI: 10.1145/3221269.3223025
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A graph-based framework for analyzing SQL query logs
1st ACM SIGMOD Joint International Workshop on Graph Data Management Experiences and Systems and Network Data Analytics, GRADES-NDA 2018
DOI: 10.1145/3210259.3210270
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Query-Driven Data Profiling with OCEANProfile
Twelfth International Workshop on Real-Time Business Intelligence and Analytics (BIRTE 2018) (Rio de Janeriro, 27. August 2018 - 27. August 2018)
In: Proceedings of the International Workshop on Real-Time Business Intelligence and Analytics 2018
DOI: 10.1145/3242153.3242154
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2017
Anfrage-getriebener Wissenstransfer zur Unterstützung von Datenanalysten
Datenbanksysteme für Business, Technologie und Web (BTW 2017), 17. Fachtagung des GI-Fachbereichs ,,Datenbanken und Informationssysteme" (DBIS) (Stuttgart, 6. März 2017 - 10. März 2017)
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Query-Driven Knowledge-Sharing for Data Integration and Collaborative Data Science
21st European Conference on Advances in Databases and Information Systems (Nicosia, 24. September 2018 - 27. Januar 2018)
In: New Trends in Databases and Information Systems 2017
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We Can Query More than We Can Tell: Facilitating Collaboration Through Query-Driven Knowledge-Sharing
2017 ACM Conference on Computer Supported Cooperative Work and Social Computing (Portland, Oregon, 25. Februar 2017 - 1. März 2017)
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2016
A Flexible, Adaptive System for Data-Stream Processing in Energy-Constrained Ad-hoc Networks
In: Technische Berichte des Departments Informatik, Erlangen: FAU Erlangen-Nürnberg, 2016, S. 1-10
URL: https://opus4.kobv.de/opus4-fau/frontdoor/index/index/docId/6893
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(online publication)
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2015
An Algebra for Pattern Matching, Time-aware Aggregates and Partitions on Relational Data Streams
DEBS Distributed Event-based Systems (Oslo, 29. Juni 2015 - 3. Juli 2015)
In: DEBS '15 Proceedings of the 9th ACM International Conference on Distributed Event-Based Systems, New York, NY, USA: 2015
DOI: 10.1145/2675743.2771830
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Detecting Bats Behavior with the Help of Event Stream Processing Systems
GeMiC 2015 - The 9th German Microwave Conference (Nürnberg)
In: SP1: Special Session - DFG Research Unit 'BATS' - Dynamically Adaptive Applications for Bat Localization using Embedded Communicating Sensor Systems 2015
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Using Data-Stream and Complex-Event Processing to Identify Activities of Bats
BTW 2015 (Hamburg, 2. März 2015 - 3. März 2015)
In: Datenbanksysteme für Business, Technologie und Web - Workshopband, Bonn: 2015
URL: https://www6.cs.fau.de/publications/public/2015/btw15_herbst.pdf
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- Publikationsliste am DBLP-Bibliographie-Server der Univsität Trier (Deutschland)
- ACM articles provided by ACM Author-Izer Service
An algebra for pattern matching, time-aware aggregates and partitions on relational data streams
Sebastian Herbst, Niko Pollner, Johannes Tenschert, Frank Lauterwald, Gregor Endler, Klaus Meyer-Wegener
DEBS 2015 Proceedings of the 9th ACM International Conference on Distributed Event-Based Systems, 2015