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Document details - DESIGNING AN IMPROVED ID3 DECISION TREE ALGORITHM

Journal Volume 8, Issue 5, September - October 2019, Article 9342120 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.

DESIGNING AN IMPROVED ID3 DECISION TREE ALGORITHM

    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

  • ISSN: 22786856
  • Source Type: Journal
  • Original language: English

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