Many cases make light work for visualization in many eyes

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Title: Many cases make light work for visualization in many eyes
Authors: Freyne, Jill
Smyth, Barry
Permanent link: http://hdl.handle.net/10197/1627
Date: 21-Jul-2009
Abstract: Visualization is among the most powerful of data analysis techniques and is readily available in standalone systems or components of everyday software packages. In recent years much work has been done to design and develop visualization systems with reduced entry and usage barriers in order to make visualization available to the masses. Here we describe a novel application of case-based reasoning techniques to help users visualize complex datasets. We exploit an online visualization service, Many Eyes, and explore how case-based representation of datasets including simple features such as size and content types can produce recommendations of visualization types to assist novice users in the selection of appropriate visualizations.
Funding Details: Science Foundation Ireland
Type of material: Conference Publication
Subject LCSH: Information visualization
Case-based reasoning
Visual analytics
Language: en
Status of Item: Not peer reviewed
Conference Details: WebCBR Workshop "Reasoning from Experiences on the Web" at 8th International Conference on Case Based Reasoning (ICCBR 2009), 21st July, 2009, Seattle, Washington
Appears in Collections:CLARITY Research Collection
Computer Science Research Collection

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