VAST Challenge 2012: Interactively finding anomalies in geo-temporal multivariate data

Nick Oude Lenferink; Haska Steltenphol; Bart de Goede; Diederik Bakker; Justin van Wees; Gosia Migut; Marcel Worring

doi:10.1109/VAST.2012.6400508

2012 IEEE Conference on Visual Analytics Science and Technology (VAST 2012)

VAST Challenge 2012: Interactively finding anomalies in geo-temporal multivariate data

Year: 2012, Pages: 297-298

DOI Bookmark: 10.1109/VAST.2012.6400508

Authors

Nick Oude Lenferink, University of Amsterdam The Netherlands
Haska Steltenphol, University of Amsterdam The Netherlands
Bart de Goede, University of Amsterdam The Netherlands
Diederik Bakker, University of Amsterdam The Netherlands
Justin van Wees, University of Amsterdam The Netherlands
Gosia Migut, University of Amsterdam The Netherlands
Marcel Worring, University of Amsterdam The Netherlands

Abstract

In this paper we describe the tool we developed to solve the VAST 2012 Challenge. We present how an expert can online analyze huge amounts of multivariate data in space and time. The visual components and the interaction between the system and the user are described, as well as the setup to allow on the fly processing and retrieval of huge amounts of data. We summarize how our tool helped us to solve the challenge.

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VAST Challenge 2012: Interactively finding anomalies in geo-temporal multivariate data

Authors

Abstract

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