Options
Many cases make light work for visualization in many eyes
Author(s)
Date Issued
2009-07-21
Date Available
2009-11-19T15:00:14Z
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.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Subject – LCSH
Information visualization
Case-based reasoning
Visual analytics
Language
English
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Not peer reviewed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
This item is made available under a Creative Commons License
File(s)
Owning collection
Views
2088
Last Month
3
3
Acquisition Date
Mar 29, 2024
Mar 29, 2024
Downloads
428
Last Month
7
7
Acquisition Date
Mar 29, 2024
Mar 29, 2024