Earthquake Investigation and Visual Cognizance of Multivariate Temporal Tabular Data Using Machine Learning

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dc.contributor.authorMajumdar, Arjun
dc.contributor.authorYmeri, Gent
dc.contributor.authorStrumbelj, Sebastian
dc.contributor.authorBuchmüller, Juri F.
dc.contributor.authorSchlegel, Udo
dc.contributor.authorKeim, Daniel A.
dc.date.accessioned2020-08-27T09:52:20Z
dc.date.available2020-08-27T09:52:20Z
dc.date.issued2019eng
dc.description.abstractThis paper presents our tool for the Vast Challenge 2019 Mini Challenge 1 (MC1). It will give an overview of the approach of data preprocessing techniques used for the given dataset and it will introduce our application which is built considering the requirements and questions to be answered for the MC1. This application consists of Machine Learning techniques and Information Visualization techniques such as Integrated Spatial Uncertainty Visualization as shown in this paper [1] to convey the needed information to the end users. To show the usefulness of this application we give examples of analysis.eng
dc.description.versionpublishedeng
dc.identifier.ppn1733647554
dc.identifier.urihttps://kops.uni-konstanz.de/handle/123456789/50591
dc.language.isoengeng
dc.rightsterms-of-use
dc.rights.urihttps://rightsstatements.org/page/InC/1.0/
dc.subjectMachine Learning, Visual Analyticseng
dc.subject.ddc004eng
dc.titleEarthquake Investigation and Visual Cognizance of Multivariate Temporal Tabular Data Using Machine Learningeng
dc.typeINPROCEEDINGSeng
dspace.entity.typePublication
kops.citation.bibtex
@inproceedings{Majumdar2019Earth-50591,
  year={2019},
  title={Earthquake Investigation and Visual Cognizance of Multivariate Temporal Tabular Data Using Machine Learning},
  isbn={978-1-72812-284-7},
  publisher={IEEE},
  address={Piscataway, NJ},
  booktitle={2019 IEEE Conference on Visual Analytics Science and Technology (VAST) : Proceedings},
  pages={136--137},
  editor={Chang, Remco and Keim, Daniel A. and Maciejewski, Ross},
  author={Majumdar, Arjun and Ymeri, Gent and Strumbelj, Sebastian and Buchmüller, Juri F. and Schlegel, Udo and Keim, Daniel A.}
}
kops.citation.iso690MAJUMDAR, Arjun, Gent YMERI, Sebastian STRUMBELJ, Juri F. BUCHMÜLLER, Udo SCHLEGEL, Daniel A. KEIM, 2019. Earthquake Investigation and Visual Cognizance of Multivariate Temporal Tabular Data Using Machine Learning. 2019 IEEE Conference on Visual Analytics Science and Technology (VAST). Vancouver, BC, Canada, 20. Okt. 2019 - 25. Okt. 2019. In: CHANG, Remco, ed., Daniel A. KEIM, ed., Ross MACIEJEWSKI, ed.. 2019 IEEE Conference on Visual Analytics Science and Technology (VAST) : Proceedings. Piscataway, NJ: IEEE, 2019, pp. 136-137. ISBN 978-1-72812-284-7deu
kops.citation.iso690MAJUMDAR, Arjun, Gent YMERI, Sebastian STRUMBELJ, Juri F. BUCHMÜLLER, Udo SCHLEGEL, Daniel A. KEIM, 2019. Earthquake Investigation and Visual Cognizance of Multivariate Temporal Tabular Data Using Machine Learning. 2019 IEEE Conference on Visual Analytics Science and Technology (VAST). Vancouver, BC, Canada, Oct 20, 2019 - Oct 25, 2019. In: CHANG, Remco, ed., Daniel A. KEIM, ed., Ross MACIEJEWSKI, ed.. 2019 IEEE Conference on Visual Analytics Science and Technology (VAST) : Proceedings. Piscataway, NJ: IEEE, 2019, pp. 136-137. ISBN 978-1-72812-284-7eng
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kops.conferencefield2019 IEEE Conference on Visual Analytics Science and Technology (VAST), 20. Okt. 2019 - 25. Okt. 2019, Vancouver, BC, Canadadeu
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kops.sourcefield.plainCHANG, Remco, ed., Daniel A. KEIM, ed., Ross MACIEJEWSKI, ed.. 2019 IEEE Conference on Visual Analytics Science and Technology (VAST) : Proceedings. Piscataway, NJ: IEEE, 2019, pp. 136-137. ISBN 978-1-72812-284-7eng
kops.title.conference2019 IEEE Conference on Visual Analytics Science and Technology (VAST)eng
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