Limn matrix: A tool for visualizing large, distributed, high-dimension data sets

Jing Zhang; Di Cook; Les Miller

Limn matrix: A tool for visualizing large, distributed, high-dimension data sets

Jing Zhang, Di Cook, Les Miller

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other › peer-review

Abstract

The amount of data that is available to users continues to grow. To make use of the large data sets, it is important that users have access to tools that support the interpretation of the data. Data visualization has emerged as a means of aiding users trying to understand large datasets. A visualization tool, Limn Matrix, for handling large, distributed, high-dimension data sets is presented. Limn Matrix makes use of a distributed index system that allows users to work with the distributed data in a scatterplot matrix format. The conceptual framework and the practical aspects of Limn Matrix are discussed. Screen shots of the tool are given to illustrate the nature of the results.

Original language	English
Title of host publication	18th International Conference on Computer Applications in Industry and Engineering 2005, CAINE 2005
Pages	263-268
Number of pages	6
Publication status	Published - 1 Dec 2005
Externally published	Yes
Event	18th International Conference on Computer Applications in Industry and Engineering 2005, CAINE 2005 - Honolulu, United States of America Duration: 9 Nov 2005 → 11 Nov 2005

Conference

Conference	18th International Conference on Computer Applications in Industry and Engineering 2005, CAINE 2005
Country	United States of America
City	Honolulu
Period	9/11/05 → 11/11/05

Access to Document

Link to publication in Scopus

Cite this

@inproceedings{9148b39bb0864ed8a46e6256f69405d7,

title = "Limn matrix: A tool for visualizing large, distributed, high-dimension data sets",

abstract = "The amount of data that is available to users continues to grow. To make use of the large data sets, it is important that users have access to tools that support the interpretation of the data. Data visualization has emerged as a means of aiding users trying to understand large datasets. A visualization tool, Limn Matrix, for handling large, distributed, high-dimension data sets is presented. Limn Matrix makes use of a distributed index system that allows users to work with the distributed data in a scatterplot matrix format. The conceptual framework and the practical aspects of Limn Matrix are discussed. Screen shots of the tool are given to illustrate the nature of the results.",

author = "Jing Zhang and Di Cook and Les Miller",

year = "2005",

month = dec,

day = "1",

language = "English",

isbn = "9781604234817",

pages = "263--268",

booktitle = "18th International Conference on Computer Applications in Industry and Engineering 2005, CAINE 2005",

note = "18th International Conference on Computer Applications in Industry and Engineering 2005, CAINE 2005 ; Conference date: 09-11-2005 Through 11-11-2005",

}

Zhang, J, Cook, D & Miller, L 2005, Limn matrix: A tool for visualizing large, distributed, high-dimension data sets. in 18th International Conference on Computer Applications in Industry and Engineering 2005, CAINE 2005. pp. 263-268, 18th International Conference on Computer Applications in Industry and Engineering 2005, CAINE 2005, Honolulu, United States of America, 9/11/05.

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T1 - Limn matrix

T2 - 18th International Conference on Computer Applications in Industry and Engineering 2005, CAINE 2005

AU - Zhang, Jing

AU - Cook, Di

AU - Miller, Les

PY - 2005/12/1

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N2 - The amount of data that is available to users continues to grow. To make use of the large data sets, it is important that users have access to tools that support the interpretation of the data. Data visualization has emerged as a means of aiding users trying to understand large datasets. A visualization tool, Limn Matrix, for handling large, distributed, high-dimension data sets is presented. Limn Matrix makes use of a distributed index system that allows users to work with the distributed data in a scatterplot matrix format. The conceptual framework and the practical aspects of Limn Matrix are discussed. Screen shots of the tool are given to illustrate the nature of the results.

AB - The amount of data that is available to users continues to grow. To make use of the large data sets, it is important that users have access to tools that support the interpretation of the data. Data visualization has emerged as a means of aiding users trying to understand large datasets. A visualization tool, Limn Matrix, for handling large, distributed, high-dimension data sets is presented. Limn Matrix makes use of a distributed index system that allows users to work with the distributed data in a scatterplot matrix format. The conceptual framework and the practical aspects of Limn Matrix are discussed. Screen shots of the tool are given to illustrate the nature of the results.

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AN - SCOPUS:33947657253

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BT - 18th International Conference on Computer Applications in Industry and Engineering 2005, CAINE 2005

Y2 - 9 November 2005 through 11 November 2005

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