Run-Time and Task-Based Performance of Event Detection Techniques for Twitter
| Type of Publication: | Contribution to a conference |
| URI (citable link): | http://nbn-resolving.de/urn:nbn:de:bsz:352-0-300914 |
| Author: | Weiler, Andreas; Grossniklaus, Michael; Scholl, Marc H. |
| Year of publication: | 2015 |
| Conference: | 27th International Conference, CAiSE 2015, Jun 8, 2015 - Jun 12, 2015, Stockholm |
| Published in: | Advanced Information Systems Engineering : 27th International Conference, CAiSE 2015, Stockholm, Sweden, June 8-12, 2015, Proceedings / Zdravkovic, Jelena et al. (ed.). - Cham : Springer, 2015. - (Lecture Notes in Computer Science ; 9097). - pp. 35-49. - ISSN 0302-9743. - eISSN 1611-3349. - ISBN 978-3-319-19068-6 |
| DOI (citable link): | https://dx.doi.org/10.1007/978-3-319-19069-3_3 |
| Summary: |
Twitter’s increasing popularity as a source of up to date news and information about current events has spawned a body of research on event detection techniques for social media data streams. Although all proposed approaches provide some evidence as to the quality of the detected events, none relate this task-based performance to their run-time performance in terms of processing speed or data throughput. In particular, neither a quantitative nor a comparative evaluation of these aspects has been performed to date. In this paper, we study the run-time and task-based performance of several state-of-the-art event detection techniques for Twitter. In order to reproducibly compare run-time performance, our approach is based on a general-purpose data stream management system, whereas task-based performance is automatically assessed based on a series of novel measures.
|
| Subject (DDC): | 004 Computer Science |
| Keywords: | Event detection, Performance evaluation, Twitter streams |
| Link to License: | In Copyright |
| Bibliography of Konstanz: | Yes |
Cite This
Files in this item
![[PDF]](/themes/Kops/images/mimes/pdf.png "PDF file"){kind=small}
WEILER, Andreas, Michael GROSSNIKLAUS, Marc H. SCHOLL, 2015. Run-Time and Task-Based Performance of Event Detection Techniques for Twitter. 27th International Conference, CAiSE 2015. Stockholm, Jun 8, 2015 - Jun 12, 2015. In: ZDRAVKOVIC, Jelena, ed. and others. Advanced Information Systems Engineering : 27th International Conference, CAiSE 2015, Stockholm, Sweden, June 8-12, 2015, Proceedings. Cham:Springer, pp. 35-49. ISSN 0302-9743. eISSN 1611-3349. ISBN 978-3-319-19068-6. Available under: doi: 10.1007/978-3-319-19069-3_3
@inproceedings{Weiler2015RunTi-31937, title={Run-Time and Task-Based Performance of Event Detection Techniques for Twitter}, year={2015}, doi={10.1007/978-3-319-19069-3_3}, number={9097}, isbn={978-3-319-19068-6}, issn={0302-9743}, address={Cham}, publisher={Springer}, series={Lecture Notes in Computer Science}, booktitle={Advanced Information Systems Engineering : 27th International Conference, CAiSE 2015, Stockholm, Sweden, June 8-12, 2015, Proceedings}, pages={35--49}, editor={Zdravkovic, Jelena}, author={Weiler, Andreas and Grossniklaus, Michael and Scholl, Marc H.} }
<rdf:RDF xmlns:dcterms="http://purl.org/dc/terms/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:void="http://rdfs.org/ns/void#" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/rdf/resource/123456789/31937"> <dc:contributor>Grossniklaus, Michael</dc:contributor> <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/> <dc:creator>Scholl, Marc H.</dc:creator> <dc:contributor>Scholl, Marc H.</dc:contributor> <dcterms:title>Run-Time and Task-Based Performance of Event Detection Techniques for Twitter</dcterms:title> <dc:rights>terms-of-use</dc:rights> <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/31937/1/Weiler_0-300914.pdf"/> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2015-10-08T11:46:10Z</dc:date> <dcterms:abstract xml:lang="eng">Twitter’s increasing popularity as a source of up to date news and information about current events has spawned a body of research on event detection techniques for social media data streams. Although all proposed approaches provide some evidence as to the quality of the detected events, none relate this task-based performance to their run-time performance in terms of processing speed or data throughput. In particular, neither a quantitative nor a comparative evaluation of these aspects has been performed to date. In this paper, we study the run-time and task-based performance of several state-of-the-art event detection techniques for Twitter. In order to reproducibly compare run-time performance, our approach is based on a general-purpose data stream management system, whereas task-based performance is automatically assessed based on a series of novel measures.</dcterms:abstract> <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/31937/1/Weiler_0-300914.pdf"/> <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/31937"/> <dc:creator>Weiler, Andreas</dc:creator> <dcterms:issued>2015</dcterms:issued> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2015-10-08T11:46:10Z</dcterms:available> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dc:language>eng</dc:language> <dc:contributor>Weiler, Andreas</dc:contributor> <dc:creator>Grossniklaus, Michael</dc:creator> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/36"/> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/36"/> </rdf:Description> </rdf:RDF>
Downloads since Oct 8, 2015 (Information about access statistics)
| Weiler_0-300914.pdf | 756 |
This item appears in the following Collection(s)
Search KOPS
Browse
My Account
