Evaluation Measures for Event Detection Techniques on Twitter Data Streams

Weiler, Andreas; Grossniklaus, Michael; Scholl, Marc H.

Evaluation Measures for Event Detection Techniques on Twitter Data Streams

Dateien

Weiler_0-300924.pdfGröße: 340.41 KBDownloads: 2090

Datum

2015

Open Access-Veröffentlichung

Open Access Green

Sammlungen

Informatik und Informationswissenschaft

Publikationstyp

Beitrag zu einem Konferenzband

Publikationsstatus

Published

Erschienen in

SEBASTIAN MANETH, , ed.. Data Science : 30th British International Conference on Databases, BICOD 2015, Edinburgh, UK, July 6-8, 2015; Proceedings. Cham [u.a.]: Springer, 2015, pp. 108-119. Lecture Notes in Computer Science. 9147. ISSN 0302-9743. eISSN 1611-3349. ISBN 978-3-319-20423-9. Available under: doi: 10.1007/978-3-319-20424-6_11

Zusammenfassung

Twitter’s popularity as a source of up-to-date news and information is constantly increasing. In response to this trend, numerous event detection techniques have been proposed to cope with the rate and volume of social media data streams. Although most of these works conduct some evaluation of the proposed technique, a comparative study is often omitted. In this paper, we present a series of measures that we designed to support the quantitative and qualitative comparison of event detection techniques. In order to demonstrate the effectiveness of these measures, we apply them to state-of-the-art event detection techniques as well as baseline approaches using real-world Twitter streaming data.

Fachgebiet (DDC)

004 Informatik

Konferenz

30th British International Conference on Databases, BICOD 2015, 6. Juli 2015 - 8. Juli 2015, Edinburgh

Zitieren

ISO 690

WEILER, Andreas, Michael GROSSNIKLAUS, Marc H. SCHOLL, 2015. Evaluation Measures for Event Detection Techniques on Twitter Data Streams. 30th British International Conference on Databases, BICOD 2015. Edinburgh, 6. Juli 2015 - 8. Juli 2015. In: SEBASTIAN MANETH, , ed.. Data Science : 30th British International Conference on Databases, BICOD 2015, Edinburgh, UK, July 6-8, 2015; Proceedings. Cham [u.a.]: Springer, 2015, pp. 108-119. Lecture Notes in Computer Science. 9147. ISSN 0302-9743. eISSN 1611-3349. ISBN 978-3-319-20423-9. Available under: doi: 10.1007/978-3-319-20424-6_11

BibTex

@inproceedings{Weiler2015Evalu-32039,
  year={2015},
  doi={10.1007/978-3-319-20424-6_11},
  title={Evaluation Measures for Event Detection Techniques on Twitter Data Streams},
  number={9147},
  isbn={978-3-319-20423-9},
  issn={0302-9743},
  publisher={Springer},
  address={Cham [u.a.]},
  series={Lecture Notes in Computer Science},
  booktitle={Data Science : 30th British International Conference on Databases, BICOD 2015, Edinburgh, UK, July 6-8, 2015; Proceedings},
  pages={108--119},
  editor={Sebastian Maneth},
  author={Weiler, Andreas and Grossniklaus, Michael and Scholl, Marc H.}
}

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