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ohiou1235676338.pdf (1.32 MB)
ETD Abstract Container
Abstract Header
Empirical Investigation of CART and Decision Tree Extraction from Neural Networks
Author Info
Hari, Vijaya
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1235676338
Abstract Details
Year and Degree
2009, Master of Science (MS), Ohio University, Industrial and Systems Engineering (Engineering and Technology).
Abstract
Accuracy is a critical factor in predictive modeling. A predictive model such as a decision tree must be accurate to draw conclusions about a prediction. This research aims at analyzing and improving the performance of classification and regression trees(CART), a decision tree algorithm by evaluating the performance of the algorithm on aset of databases extracted from real world problems. Various methods and parameters of the algorithm were used to develop decision trees. The predictive accuracy of the trees developed by all the methods was examined and a best method that develops a tree with better accuracy was identified. However, a new approach was introduced to further improve the efficiency of the CART algorithm by combining the functionality of CART with neural networks. Neural networks contribute by generating new data necessary to improve the accuracy of the decision trees. Finally, the decision trees developed by both the new method and existing CART were compared for accuracy. This research thus provides insight into improved performance of the CART algorithm, comprehending the behavior of the algorithm and determining methods and parameters for better accuracy.
Committee
Gary R. Weckman, PhD (Advisor)
Diana Schwerha, PhD (Committee Member)
Ralph Whaley, PhD (Committee Member)
Andrew Snow, PhD (Committee Member)
Pages
142 p.
Subject Headings
Industrial Engineering
Keywords
Classification and Regression Trees
;
TREPAN
;
Enhanced CART
;
Decision Tree Algorithm
;
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Citations
Hari, V. (2009).
Empirical Investigation of CART and Decision Tree Extraction from Neural Networks
[Master's thesis, Ohio University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1235676338
APA Style (7th edition)
Hari, Vijaya.
Empirical Investigation of CART and Decision Tree Extraction from Neural Networks.
2009. Ohio University, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1235676338.
MLA Style (8th edition)
Hari, Vijaya. "Empirical Investigation of CART and Decision Tree Extraction from Neural Networks." Master's thesis, Ohio University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1235676338
Chicago Manual of Style (17th edition)
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Document number:
ohiou1235676338
Download Count:
2,497
Copyright Info
© 2009, all rights reserved.
This open access ETD is published by Ohio University and OhioLINK.