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Visualization for the masses : learning from the experts
Author(s)
Date Issued
2010-07
Date Available
2010-11-24T15:25:51Z
Abstract
Increasingly, in our everyday lives, we rely on our ability to access and understand complex information. Just as the search engine played a key role in helping people access relevant information, there is evidence that the next generation of information tools will provide users with a greater ability to analyse and make sense of large amounts of raw data. Visualization technologies are set to play an important role in this regard. However, the current generation of visualization tools are simply too complex for the typical user. In this paper we describe a novel application of case-based reasoning techniques to help users visualize complex datasets. We exploit an online visualization service, ManyEyes,
and explore how case-based representation of datasets including simple features such as size and content types can produce recommendations to assist novice users in the selection of appropriate visualization types.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
Springer
Copyright (Published Version)
Springer-Verlag, 2010
Subject – LCSH
Information visualization
Case-based reasoning
Information visualization--Computer programs--Evaluation
Language
English
Status of Item
Peer reviewed
Part of
Bichindaritz, I. and Montani, S. (eds.). Case-based reasoning research and development : 18th International Conference on Case-based Reasoning, ICCBR 2010, Alessandria, Italy, July 2010 : proceedings
Conference Details
18th International Conference on Case-based Reasoning (ICCBR 2010), 19-22 July 2010, Alessandria, Italy
ISBN
978-3-642-14273-4
This item is made available under a Creative Commons License
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