Performance Analysis of Naive Bayes and J 48 Classification Algorithm for Data Classification

By Tina R. Patil, Mrs. S. S. Sherekar. 2013

552 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/326bb0017933f4179e475e6d9f1c7d3eb674d67d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. M. M. Saritas
2. A. Yaşar
3. John Awoyemi
4. Adebayo Olusola Adetunmbi
5. Samuel Adebayo Oluwadare
6. Emmanuel Ileberi

Citations in the corpus

• Credit card fraud detection using machine learning techniques: A comparative analysis (2017, methodology): “Naïve Bayes a statistical approach based on Bayesian theory, which chooses the decision based on highest probability.”
• Performance Analysis of ANN and Naive Bayes Classification Algorithm for Data Classification (2019, background): “Data mining is widely used in a wide variety of applications, such as medical diagnosis, targeted marketing, estimating the shares of television audiences, financial forecasting product design, automated abstraction, analysis of organic compounds, credit card fraud detection [1].”