Author:
Aigner Wolfgang,Miksch Silvia,Schumann Heidrun,Tominski Christian
Abstract
AbstractThis chapter investigates in detail the characteristics of time and time-oriented data. Design aspects for modeling time and time-oriented data are introduced and discussed using examples. The chapter also sheds some light on data quality.
Reference42 articles.
1. Aigner, W., S. Miksch, B. Thurnher, and S. Biffl. 2005. PlanningLines: Novel Glyphs for Representing Temporal Uncertainties and Their Evaluation. In Proceedings of the International Conference Information Visualisation (IV), 457–463. IEEE Computer Society. https://doi.org/10.1109/IV.2005.97.
2. Allen, J.F. 1983. Maintaining Knowledge about Temporal Intervals. Communications of the ACM 26 (11): 832–843. https://doi.org/10.1145/182.358434.
3. Arbesser, C., F. Spechtenhauser, T. Mühlbacher, and H. Piringer. 2017. Visplause: Visual Data Quality Assessment of Many Time Series Using Plausibility Checks. IEEE Transactions on Visualization and Computer Graphics 23 (1): 641–650. https://doi.org/10.1109/tvcg.2016.2598592.
4. Bernard, J., T. Ruppert, O. Goroll, T. May, and J. Kohlhammer. 2012. Visual- Interactive Preprocessing of Time Series Data. In Proceedings of the Annual Conference of the Swedish Computer Graphics Association (SIGRAD), vol. 81, 39–48. Linköping University Electronic Press. https://ep.liu.se/ecp/081/006/ecp12081006.pdf.
5. Bettini, C., S. Jajodia, and X.S. Wang. 2000. Time Granularities in Databases, Data Mining, and Temporal Reasoning, 1st ed. Berlin: Springer. https://doi.org/10.1007/978-3-662-04228-1.