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Visual Analysis of Time-Series Similarities for Anomaly Detection in Sensor Networks.

, , , , , , and . Comput. Graph. Forum, 33 (3): 401-410 (2014)

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Combining statistical independence testing, visual attribute selection and automated analysis to find relevant attributes for classification., , and . IEEE VAST, page 239-240. IEEE Computer Society, (2010)Working with patterns in large multivariate datasets - Karnaugh-Veitch-Maps revisited.. IV, page 277-285. IEEE Computer Society, (2007)Smart Grid monitoring through visual analysis., , , and . ISGT Europe, page 1-5. IEEE, (2013)Visual Analysis of Time-Series Similarities for Anomaly Detection in Sensor Networks., , , , , , and . Comput. Graph. Forum, 33 (3): 401-410 (2014)Visual Verification of Hypotheses., and . ISVC (2), volume 5359 of Lecture Notes in Computer Science, page 31-42. Springer, (2008)Lowering the Barrier for Successful Replication and Evaluation., , , , , and . BELIV, page 60-68. IEEE Computer Society, (2018)On Quality Indicators for Progressive Visual Analytics., , , and . EuroVA@EuroVis, page 25-29. Eurographics Association, (2019)Visualizing Time Series Consistency for Feature Selection., , , , and . J. WSCG, (2019)TimeSeriesPaths: Projection-Based Explorative Analysis of Multivarate Time Series Data., , , , and . Journal of WSCG, 20 (2): 97-106 (2012)Visual-Interactive Preprocessing of Time Series Data., , , , and . SIGRAD, volume 81 of Linköping Electronic Conference Proceedings, page 39-48. Linköping University Electronic Press, (2012)