e-ISSN:0976-5166
p-ISSN:2231-3850


INDIAN JOURNAL OF COMPUTER SCIENCE AND ENGINEERING

Call for Papers

Oct 2019 - Volume 10, Issue 5
Deadline: 15 Sep 2019
Notification: 15 Oct 2019
Publication: 30 Oct 2019

Aug 2019 - Volume 10, Issue 6
Deadline: 15 Nov 2019
Notification: 15 Dec 2019
Publication: 31 Dec 2019

Indexed in

IJCSE Indexed in Scopus

ABSTRACT

Title : KNOWLEDGE STRUCTURE FOR FRAUDULENT FIRM CLASSIFICATION APPROACHES
Authors : Dr.G.Ayyappan, Dr.A.Kumaravel
Keywords : J48, Fraudulent Firm, Audit data, Machine Learning
Issue Date : Aug-Sep 2019
Abstract :
Machine learning gives most impact in developing the qualities of an audit work in the future due to enormous development of financial fraud. Here, seven hundred and seventy seven firm’s data in fourteen different sectors are collected in this research study. This work proposed number of classification models are estimated in terms of their accuracies and time taken to build the models. The results of Trees and Rules are demonstrating an accuracy of high level for suspicious firm classification. This paper focuses improving the worth of an audit work by implementing a machine learning algorithms.
Page(s) : 89-96
ISSN : 0976-5166
Source : Vol. 10, No.4
PDF : Download
DOI : 10.21817/indjcse/2019/v10i4/191004008