A Review on Classification of Various Types of Decision Trees with Merits and Demerits

Author(s)	O Yamini, G V Ramesh Babu
Country	India
Abstract	Data mining includes several important technologies such as classification, clustering, regression, etc. Categorical mining technology, among data mining technologies, is becoming the most mature and active research direction enabling successful applications. Categorical mining can be applied to uncover useful information from large amounts of data stored in a large number of fields such as hospitals, inventory, banking, etc. Decision tree methods, neural network methods and statistics exploratory methods. In this paper a large number of decision tree algorithms such as Iterative Dichotomizer 3, CART (Classification and Regression Tree), C4.5, SLIQ and SPRINT are used in different fields. These algorithms have been explained clearly with merits and demerits along with some applications. Most of the decision tree methods are developed from the ID3 method.
Keywords	Data mining, Classification algorithms, ID3, CART, C4.5, SLIQ, SPRINT.
Field	Computer Applications
Published In	Volume 5, Issue 3, May-June 2023
Published On	2023-06-07
Cite This	A Review on Classification of Various Types of Decision Trees with Merits and Demerits - O Yamini, G V Ramesh Babu - IJFMR Volume 5, Issue 3, May-June 2023. DOI 10.36948/ijfmr.2023.v05i03.3475
DOI	https://doi.org/10.36948/ijfmr.2023.v05i03.3475
Short DOI	https://doi.org/gscdq6

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International Journal For Multidisciplinary Research