ODIX : A Rapid Hypotheses Testing System for Origin-Destination Data
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| Publikationstyp: | Beitrag zu einer Konferenz |
| Publikationsstatus: | Published |
| URI (zitierfähiger Link): | http://nbn-resolving.de/urn:nbn:de:bsz:352-2-s1xfb1lo5i8w7 |
| Autor/innen: | Buchmüller, Juri; Jentner, Wolfgang; Streeb, Dirk; Keim, Daniel A. |
| Erscheinungsjahr: | 2017 |
| Konferenz: | 2017 IEEE Visualization Conference (VIS), 1. Okt 2017 - 6. Okt 2017, Phoenix, Arizona, USA |
| Erschienen in: | IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2017 MC1) |
| 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.
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| Fachgebiet (DDC): | 004 Informatik |
| Universitätsbibliographie: | Ja |
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BUCHMÜLLER, Juri, 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)
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Dateiabrufe seit 13.03.2018 (Informationen über die Zugriffsstatistik)
| Buchmueller_2-s1xfb1lo5i8w7.pdf | 58 |
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