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Apprehension and Analysis of Pollution Under Control Certificate using ID3 algorithm greedy method

    Author

    • Dr. Neeru Bhardwaj, Er Harpreet Singh
,

Document Type : Research Article

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Abstract

Inductive learning was found to depend on acceptance. The basis of induction research is the
decision tree method . This method uses inductive methods to correctly classify objects based on the quality they
provide. These calculations are very useful for characterizing articles and are often used in the main frame. When
any new quality is added, the ID3 decision tree learning calculation is used to see if there is any progress in the
selection principle currently granted to PUCC (Pollution Treatment Certificate). Three studies were conducted on
the PUCC issuance, each of which added a new feature to the data set, thereby providing decision rules.

Keywords

  • inductive
  • Classification
  • PUCC
  • ID3
  • U
  • Y
  • N
  • Ent
  • decision learning algorithm
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    • Article View: 226
    • PDF Download: 171
European Journal of Molecular & Clinical Medicine
Volume 9, Issue 1
January 2022
Page 413-421
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  • PDF 426.41 K
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Export Citation
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  • Article View: 226
  • PDF Download: 171

APA

Singh, D. N. B. E. H. (2022). Apprehension and Analysis of Pollution Under Control Certificate using ID3 algorithm greedy method. European Journal of Molecular & Clinical Medicine, 9(1), 413-421.

MLA

Dr. Neeru Bhardwaj, Er Harpreet Singh. "Apprehension and Analysis of Pollution Under Control Certificate using ID3 algorithm greedy method". European Journal of Molecular & Clinical Medicine, 9, 1, 2022, 413-421.

HARVARD

Singh, D. N. B. E. H. (2022). 'Apprehension and Analysis of Pollution Under Control Certificate using ID3 algorithm greedy method', European Journal of Molecular & Clinical Medicine, 9(1), pp. 413-421.

VANCOUVER

Singh, D. N. B. E. H. Apprehension and Analysis of Pollution Under Control Certificate using ID3 algorithm greedy method. European Journal of Molecular & Clinical Medicine, 2022; 9(1): 413-421.

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