Smart Brushing for Parallel Coordinates
- Submitting institution
-
University of Nottingham, The
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 4571450
- Type
- D - Journal article
- DOI
-
10.1109/tvcg.2018.2808969
- Title of journal
- IEEE Transactions on Visualization and Computer Graphics
- Article number
- -
- First page
- 1575
- Volume
- 25
- Issue
- 3
- ISSN
- 1077-2626
- Open access status
- Technical exception
- Month of publication
- February
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
-
- Citation count
- 5
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Parallel coordinates are a popular technique for the visualization of high-dimensional data. Interaction is a vital component of this visual interface in order to take full advantage of the benefits parallel coordinate imagery has to offer. This paper introduces novel, advanced interaction techniques (called smart brushing) to support high-dimensional pattern searching and filtering in multivariate data. The new and intuitive visual interaction techniques were developed in collaboration with an industry partner, QPC Ltd, and are used to inform their analysis of very large, high-dimensional, real-world call centre data providing new insight into call centre operations. QPC Contact: Gary A. Smith.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
