BaobabView: Interactive construction and analysis of decision trees

We present a system for the interactive construction and analysis of decision trees that enables domain experts to bring in domain specific knowledge. We identify different user tasks and corresponding requirements, and develop a system incorporating a tight integration of visualization, interaction...

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Bibliographic Details
Published in:2011 IEEE Conference on Visual Analytics Science and Technology pp. 151 - 160
Main Authors: van den Elzen, S., van Wijk, J. J.
Format: Conference Proceeding
Language:English
Published: IEEE 01.10.2011
Subjects:
Accuracy
Algorithm design and analysis
Data visualization
Decision trees
H.1.2 [Information Systems]: User/Machine Systems-Human Information Processing
H.2.8 [Database Management]: Database Applications-Data Mining
Histograms
I.3.6 [Computer Graphics]: Methodology and Techniques-Interaction Techniques
Impurities
Training
ISBN:1467300152, 9781467300155
Online Access:Get full text
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Summary:We present a system for the interactive construction and analysis of decision trees that enables domain experts to bring in domain specific knowledge. We identify different user tasks and corresponding requirements, and develop a system incorporating a tight integration of visualization, interaction and algorithmic support. Domain experts are supported in growing, pruning, optimizing and analysing decision trees. Furthermore, we present a scalable decision tree visualization optimized for exploration. We show the effectiveness of our approach by applying the methods to two use cases. The first case illustrates the advantages of interactive construction, the second case demonstrates the effectiveness of analysis of decision trees and exploration of the structure of the data.
ISBN:1467300152
9781467300155
DOI:10.1109/VAST.2011.6102453