ODIX : A Rapid Hypotheses Testing System for Origin-Destination Data

Buchmüller, Juri F.; Jentner, Wolfgang; Streeb, Dirk; Keim, Daniel A.

ODIX : A Rapid Hypotheses Testing System for Origin-Destination Data

Dateien

Buchmueller_2-s1xfb1lo5i8w7.pdfGröße: 2.79 MBDownloads: 241

Datum

2017

Publikationstyp

Beitrag zu einem Konferenzband

Publikationsstatus

Published

Erschienen in

IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2017 MC1). 2017

Zusammenfassung

In this paper, we present our solution to the VAST Challenge 2017 Mini Challenge 1. We discuss challenges posed by data set and tasks and introduce ODIX, a custom rapid hypotheses testing system tailored to origin-destination data as provided by the challenge. We show findings made with ODIX and illustrate how we apply sequential pattern mining to explore common traffic patterns.

Fachgebiet (DDC)

004 Informatik

Konferenz

2017 IEEE Visualization Conference (VIS), 1. Okt. 2017 - 6. Okt. 2017, Phoenix, Arizona, USA

Zitieren

ISO 690

BUCHMÜLLER, Juri F., Wolfgang JENTNER, Dirk STREEB, Daniel A. KEIM, 2017. ODIX : A Rapid Hypotheses Testing System for Origin-Destination Data. 2017 IEEE Visualization Conference (VIS). Phoenix, Arizona, USA, 1. Okt. 2017 - 6. Okt. 2017. In: IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2017 MC1). 2017

BibTex

@inproceedings{Buchmuller2017Rapid-41757,
  year={2017},
  title={ODIX : A Rapid Hypotheses Testing System for Origin-Destination Data},
  booktitle={IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2017 MC1)},
  author={Buchmüller, Juri F. and Jentner, Wolfgang and Streeb, Dirk and Keim, Daniel A.}
}

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Universitätsbibliographie

Ja