Volume & Issue no: Volume 8, Issue 5, September - October 2019
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Title: |
DESIGNING AN IMPROVED ID3 DECISION TREE ALGORITHM |
Author Name: |
O YAMINI, Dr S RAMAKRISHNA |
Abstract: |
Abstract: The decision tree is an significant classification
process in data mining classification. Aiming at deficiency of
ID3 algorism, a new improved categorization algorism is
proposed in this paper. The new algorithm combines attitude of
Taylor formula with information entropy solution of ID3
algorism, and simplifies the information entropy solution of ID3
algorithm, then assigns a weight value N to beginners
information entropy. It avoids deficiency of ID3 algorism which
is apt to sample much value for testing.
Keywords: ID3 (Iterative Dichotomizer 3,) Decision Tree
Classification, Entropy, Information Gain, Taylors Series |
Cite this article: |
O YAMINI, Dr S RAMAKRISHNA , "
DESIGNING AN IMPROVED ID3 DECISION TREE ALGORITHM " , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) ,
Volume 8, Issue 5, September - October 2019 , pp.
006-010 , ISSN 2278-6856.
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