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Multidimensional detective
Abstract
The display of multivariate datasets in parallel coordinates, transforms the search for relations among the variables into a 2-D pattern recognition problem. This is the basis for the application to visual data mining. The knowledge discovery process together with some general guidelines are illustrated on a dataset from the production of a VLSI chip. The special strength of parallel coordinates is in modeling relations. As an example, a simplified economic model is constructed with data from various economic sectors of a real country. The visual model shows the interelationship and dependencies between the sectors, circumstances where there is competition for the same resource, and feasible economic policies. Interactively, the model can be used to do trade-off analyses, discover sensitivities, do approximate optimization, monitor (as in a process) and provide decision support.
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Citations
Cited by
Maier, H. R., Kapelan, Z., Kasprzyk, J., Kollat, J., Matott, L. S., Cunha, M. C., Dandy, G. C., Gibbs, M. S., Keedwell, E., Marchi, A., et al. (2014) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2014.09.013 · Cited by 657
Many objective robust decision making for complex environmental systems undergoing change
Kasprzyk, J. R., Nataraj, S., Reed, P. M., & Lempert, R. J. (2013) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2012.12.007 · Cited by 508
Visualizing multi-dimensional clusters, trends, and outliers using star coordinates
Kandogan, E. (2001) · Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining · doi:10.1145/502512.502530 · Cited by 264
Human-centered XAI: Developing design patterns for explanations of clinical decision support systems
Schoonderwoerd, T. A. J., Jorritsma, W., Neerincx, M. A., & van den Bosch, K. (2021) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2021.102684 · Cited by 210
A Critical Reflection on Visualization Research: Where Do Decision Making Tasks Hide?
Dimara, E., & Stasko, J. (2022) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2021.3114813 · Cited by 60
Metadata
- Authors
- Inselberg, A.
- Venue
- Proceedings of VIZ '97: Visualization Conference, Information Visualization Symposium and Parallel Rendering Symposium
- Publisher
- IEEE Comput. Soc
- Published
- 2002-11-23
- Pages
- 100-107
- OpenAlex
- W2913872186
- Cited by
- 230
- References
- 0
- FWCI
- 7.44
- Type
- conference paper
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
