International Journal of Emerging Trends & Technology in Computer Science
A Motivation for Recent Innovation & Research
ISSN 2278-6856
www.ijettcs.org

Call for Paper, Published Articles, Indexing Infromation DESIGNING AN IMPROVED ID3 DECISION TREE ALGORITHM , Authors : O YAMINI, Dr S RAMAKRISHNA, International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), www.ijettcs.org
Volume & Issue no: Volume 8, Issue 5, September - October 2019

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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