A Visual Analytics Approach to Segmenting and Labeling Multivariate Time Series Data (English)

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Many natural and industrial processes such as oil well construction are composed of a sequence of recurring activities. Such processes can often be monitored via multiple sensors that record physical measurements over time. Using these measurements, it is sometimes possible to reconstruct the processes by segmenting the respective time series data into intervals that correspond to the constituent activities. While automated algorithms can compute this segmentation rapidly, they cannot always achieve the required accuracy rate e.g. due to process variations that need human judgment to account for. We propose a Visual Analytics approach that intertwines interactive time series visualization with automated algorithms for segmenting and labeling multivariate time series data. Our approach helps domain experts to inspect the results, identify segmentation problems, and correct mislabeled segments accordingly. We demonstrate how our approach is applied in the drilling industry and discuss its applicability to other domains having similar requirements.

Table of contents conference proceedings

The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.

Integrated Visualization and Analysis of a Multi-scale Biomedical Knowledge Space
Agibetov, Asan / Vaquero, Ricardo Manuel Millan / Friese, Karl-Ingo / Patane, Giuseppe / Spagnuolo, Michela / Wolter, Franz-Erich | 2014
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Towards more Visual Analytics in Learning Analytics
Ritsos, Panagiotis D. / Roberts, Jonathan C. | 2014
A Visual Analytics Approach to Segmenting and Labeling Multivariate Time Series Data
Alsallakh, Bilal / Bögl, Markus / Gschwandtner, Theresia / Miksch, Silvia / Esmael, Bilal / Arnaout, Arghad / Thonhauser, Gerhard / Zöllner, Philipp | 2014
What's In a Name? Data Linkage, Demography and Visual Analytics
Wang, Feng / Ibarra, Jose / Muhammed, Adnan / Longley, Paul / Maciejewski, Ross | 2014
A Visual Analytics Field Experiment to Evaluate Alternative Visualizations for Cyber Security Applications
Fischer, Fabian / Davey, James / Fuchs, Johannes / Thonnard, Olivier / Kohlhammer, Jörn / Keim, Daniel A. | 2014
Interactively Visualizing Summaries of Rules and Exceptions
Sharma, Geetika / Shroff, Gautam / Pandey, Aditeya / Agarwal, Puneet / Srinivasan, Ashwin | 2014
Visual Analytics for Risk-based Decision Making, Long-Term Planning, and Assessment Process
Oliveros, Silvia / Yang, Yang / Jang, Yun / Maule, Ben / Ebert, David | 2014
Guided Sketching for Visual Search and Exploration in Large Scatter Plot Spaces
Shao, Lin / Behrisch, Michael / Schreck, Tobias / Landesberger, Tatiana von / Scherer, Maximilian / Bremm, Sebastian / Keim, Daniel | 2014
Supporting an Early Detection of Diabetic Neuropathy by Visual Analytics
Luboschik, Martin / Röhlig, Martin / Kundt, Günther / Stachs, Oliver / Peschel, Sabine / Zhivov, Andrey / Guthoff, Rudolf F. / Winter, Karsten / Schumann, Heidrun | 2014