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