Majumdar, Arjun
[Author];
Ymeri, Gent
[Author];
Strumbelj, Sebastian
[Author];
Buchmüller, Juri F.
[Author];
Schlegel, Udo
[Author];
Keim, Daniel A.
[Author]
Earthquake Investigation and Visual Cognizance of Multivariate Temporal Tabular Data Using Machine Learning
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Media type:
Text;
Electronic Conference Proceeding
Title:
Earthquake Investigation and Visual Cognizance of Multivariate Temporal Tabular Data Using Machine Learning
Contributor:
Majumdar, Arjun
[Author];
Ymeri, Gent
[Author];
Strumbelj, Sebastian
[Author];
Buchmüller, Juri F.
[Author];
Schlegel, Udo
[Author];
Keim, Daniel A.
[Author]
imprint:
KOPS - The Institutional Repository of the University of Konstanz, 2019
Footnote:
Diese Datenquelle enthält auch Bestandsnachweise, die nicht zu einem Volltext führen.
Description:
This 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. ; published