Exploring Insights through Visualization of Association Rules from Text Mining Statistics

Arun Thotapalli Sundararaman

doi:10.4028/www.scientific.net/AMM.310.567

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 310Exploring Insights through Visualization of...

Exploring Insights through Visualization of Association Rules from Text Mining Statistics

Abstract:

Visualization is an important technique for analysis of knowledge derived from text mining. While different approaches exist for visualization, this paper presents a novel way of visualizing the strength of association between multiple terms that summarizes association in the form of a matrix. This approach is expected to improve the way decision makers analyze insights from text mining.

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Periodical:

Applied Mechanics and Materials (Volume 310)

Pages:

567-571

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.310.567

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Online since:

February 2013

Authors:

Arun Thotapalli Sundararaman

Keywords:

Association, Matrix, Text Mining, Visualization

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