Proceedings of The International Conference on Emerging Trends in Artificial Intelligence and Smart Systems, THEETAS 2022, 16-17 April 2022, Jabalpur, India

Research Article

Review of Literature on Recursive Partitioning and its applications in various areas

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  • @INPROCEEDINGS{10.4108/eai.16-4-2022.2318071,
    author={Abhijeet  Mankar and Sudhakar  Bhoite},
    title={Review of Literature on Recursive Partitioning and its applications in various areas},
    proceedings={Proceedings of The International Conference on Emerging Trends in Artificial Intelligence and Smart Systems, THEETAS 2022, 16-17 April 2022, Jabalpur, India},
    publisher={EAI},
    proceedings_a={THEETAS},
    year={2022},
    month={6},
    keywords={recursive partitioning cart decision tree prediction},
    doi={10.4108/eai.16-4-2022.2318071}
}
  • Abhijeet Mankar
    Sudhakar Bhoite
    Year: 2022
    Review of Literature on Recursive Partitioning and its applications in various areas
    THEETAS
    EAI
    DOI: 10.4108/eai.16-4-2022.2318071
Abhijeet Mankar1,*, Sudhakar Bhoite2
  • 1: Tuljaram Chaturchand College, Baramati, Pune
  • 2: Chhatrapati Shahu Institute of Business Education and Research, Kolhapur
*Contact email: abhijeetmankar@gmail.com

Abstract

Prediction is one of the most dominant challenges in data analhysis. Prediction is required in almost every walk of life. Prediction is also some kind of decision and hence it should be possible to use tree structures to represent prediction models. The process of construction of a tree involves partitioning data recursively. There are various application domains of prediction using recursive partitioning like diagnostic analysis, insurance sector, infrastructure, social science, atmospheric study, telecommunications industry

Keywords
recursive partitioning cart decision tree prediction
Published
2022-06-08
Publisher
EAI
http://dx.doi.org/10.4108/eai.16-4-2022.2318071
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