Tree visualization with tree-maps: 2-d space-filling approach
ACM Transactions on Graphics (TOG)
ACM president's letter: electronic junk
Communications of the ACM
Recursive Pattern: A Technique for Visualizing Very Large Amounts of Data
VIS '95 Proceedings of the 6th conference on Visualization '95
The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations
VL '96 Proceedings of the 1996 IEEE Symposium on Visual Languages
PixelMaps: A New Visual Data Mining Approach for Analyzing Large Spatial Data Sets
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
RecMap: Rectangular Map Approximations
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
HistoScale: An Efficient Approach for Computing Pseudo-Cartograms
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
Thread arcs: an email thread visualization
INFOVIS'03 Proceedings of the Ninth annual IEEE conference on Information visualization
Interactive Exploration of Data Traffic with Hierarchical Network Maps
IEEE Transactions on Visualization and Computer Graphics
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In today's world, e-mail has become one of the most important means of communication in business and private lives due to its efficiency. However, the problems start as soon as mail volumes go beyond the scope of human information processing capabilities. Firstly, time does not allow for leaving certain messages unanswered for a long time, and in certain cases, for reading all messages. Secondly, the dilemma of electronic filters leaves a choice of too many junk mails getting through versus a risk of solicited mails being dumped. In this paper we present a new interactive visual data mining approach for analyzing individual e-mail communication. It combines classical visual analytics (help to identify pattern such as peaks and trends over time) with geo-spatial map distortions (help to understand the routes of e-mails). Experiments show that our visual e-mail explorer produces useful and interesting visualizations of large collections of e-mail and is practical for exploring temporal and geo-spatial patterns hidden in the e-mail data.