Implementation of Naive Bayesian Data Mining Algorithm on Deceased Registration Data

International Journal of Computer Engineering and Technology, 10(1), 2019, pp. 32–37.

6 Pages Posted: 12 Mar 2020

See all articles by DR. P. Y. DESAI

DR. P. Y. DESAI

Department of ICT Veer Narmad South Gujarat University, Surat, India

Date Written: 2019

Abstract

The use of data mining algorithm in different domains like marketing, finance, retail, cyber security, fraud detection, medical science, etc… is well known. In recent times, the data mining is also implemented for e-governance data. Normally, e-governance data are only used for Online Transaction Processing System (OLTP). However, one can use data mining algorithm to uncover hidden and new trends from e-governance data. In this paper, Naïve Bayes data mining algorithm is applied on Deceased Registration data to find hidden trends.

Keywords: Deceased Registration Data, Naive Bayes Algorithm, Data Mining

Suggested Citation

DESAI, DR. P. Y., Implementation of Naive Bayesian Data Mining Algorithm on Deceased Registration Data (2019). International Journal of Computer Engineering and Technology, 10(1), 2019, pp. 32–37.. Available at SSRN: https://ssrn.com/abstract=3537532

DR. P. Y. DESAI (Contact Author)

Department of ICT Veer Narmad South Gujarat University, Surat, India ( email )

Udhana-Magdalla Road
237, Udhana Magdala Rd
Surat, Gujarat 395007
India

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