Activity Number:
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142
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Type:
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Topic Contributed
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Date/Time:
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Monday, August 12, 2002 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistical Graphics*
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Abstract - #301448 |
Title:
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Exploring Statistical Forests
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Author(s):
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Simon Urbanek*+
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Affiliation(s):
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University of Augsburg
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Address:
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, Augsburg, International, 86135, Germany
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Keywords:
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classification trees ; interactive methods ; exploratory data analysis
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Abstract:
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Trees are a valuable way of displaying structure in data sets, especially for classification problems. Improved classification results can be achieved using forests of trees. Adding various visualization methods and interactive tools for analysis of individual trees and of whole forests gives complementary insight into the data. This talk describes different views and methods as implemented in our prototype software, KLIMT (Klassification: Interactive Methods for Trees).
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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