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    Mail Explorer - Spatial and Temporal Exploration of Electronic Mail

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    247-254.pdf (7.199Mb)
    Date
    2005
    Author
    Keim, Daniel A. ORCID
    Mansmann, Florian
    Panse, Christian
    Schneidewind, Jörn
    Sips, Mike
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    Abstract
    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.
    BibTeX
    @inproceedings {10.2312:VisSym:EuroVis05:247-254,
    booktitle = {EUROVIS 2005: Eurographics / IEEE VGTC Symposium on Visualization},
    editor = {Ken Brodlie and David Duke and Ken Joy},
    title = {{Mail Explorer - Spatial and Temporal Exploration of Electronic Mail}},
    author = {Keim, Daniel A. and Mansmann, Florian and Panse, Christian and Schneidewind, Jörn and Sips, Mike},
    year = {2005},
    publisher = {The Eurographics Association},
    ISSN = {1727-5296},
    ISBN = {3-905673-19-3},
    DOI = {10.2312/VisSym/EuroVis05/247-254}
    }
    URI
    http://dx.doi.org/10.2312/VisSym/EuroVis05/247-254
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    Eurographics Association copyright © 2013 - 2023 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA