Abstract:
Concentric circles representation has been developed for visualizing the periodic character of temporal data set. It is particularly useful for visually interpreting peri...Show MoreMetadata
Abstract:
Concentric circles representation has been developed for visualizing the periodic character of temporal data set. It is particularly useful for visually interpreting periodic time-oriented patterns extracted by data mining techniques. However, this requires a cognitive study to support the transformation into the closest mental representation to reality. In this paper, the proposed information visualization tool is enhanced taking into account key human factors for temporal patterns perception and cognition. This allows facilitating visual analysis of data space to make the right decision by exerting a minimum of cognitive load. We based our work on the taxonomy proposed by Bloom of cognitive domain to improve the concentric circles technique.
Published in: 2015 IEEE/ACS 12th International Conference of Computer Systems and Applications (AICCSA)
Date of Conference: 17-20 November 2015
Date Added to IEEE Xplore: 09 July 2016
ISBN Information:
Electronic ISSN: 2161-5330