Meta-Analysis and Evaluation of Visualization Support to Decision Trees Classification

Zu Yi Chen; Tai Xiang Zhao

doi:10.4028/www.scientific.net/AMR.989-994.1692

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 989-994Meta-Analysis and Evaluation of Visualization...

Meta-Analysis and Evaluation of Visualization Support to Decision Trees Classification

Abstract:

In the social sciences, meta-analysis has been used on a limited scale only, mainly because there still remains a gap between the knowledge available and itsapplication in policymaking. The experimental results suggested that, compared to the automatic modeling process as typically applied in current decision tree modeling tools, interactive visual decision tree (IVDT) process can improve the effectiveness of modeling in terms of producing trees with relatively high classification accuracies and small sizes, enhance users’ understanding of the algorithm, and give them greater satisfaction with the task.

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Periodical:

Advanced Materials Research (Volumes 989-994)

Pages:

1692-1694

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.989-994.1692

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Online since:

July 2014

Authors:

Zu Yi Chen*, Tai Xiang Zhao

Keywords:

Classification, Decision Tree, Meta-Analysis, Visual Data Mining

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References

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