Financial fraud detection applying data mining techniques: A comprehensive review from 2009 to 2019

2021 ◽  
Vol 40 ◽  
pp. 100402
Author(s):  
Khaled Gubran Al-Hashedi ◽  
Pritheega Magalingam
Keyword(s):  
Data Mining ◽  
Fraud Detection ◽  
Financial Fraud ◽  
Comprehensive Review ◽  
Data Mining Techniques

A complete literature review on financial fraud detection applying data mining techniques

2016 ◽  
Vol 3 (4) ◽  
pp. 336
Author(s):  
Palash Mandal ◽  
Animesh Mahata ◽  
Biswajit Biswas ◽  
Utpal Pal ◽  
Md. Asif Sarfaraj ◽  
...  
Keyword(s):  
Data Mining ◽  
Literature Review ◽  
Fraud Detection ◽  
Financial Fraud ◽  
Data Mining Techniques

A complete literature review on financial fraud detection applying data mining techniques

2016 ◽  
Vol 3 (4) ◽  
pp. 336 ◽  
Author(s):  
Subhas Barman ◽  
Utpal Pal ◽  
Md. Asif Sarfaraj ◽  
Biswajit Biswas ◽  
Animesh Mahata ◽  
...  
Keyword(s):  
Data Mining ◽  
Literature Review ◽  
Fraud Detection ◽  
Financial Fraud ◽  
Data Mining Techniques

scholarly journals Performance Analysis and Prediction Student Performance to build effective student Using Data Mining Techniques

2019 ◽  
Vol 3 (2) ◽  
pp. 10
Author(s):  
Ardalan Husin Awlla
Keyword(s):  
Data Mining ◽  
Performance Analysis ◽  
Student Performance ◽  
Fraud Detection ◽  
Classification Model ◽  
Data Mining Techniques ◽  
Incipient Stage ◽  
The Everyday ◽  
Using Data

In this period of computerization, schooling has additionally remodeled itself and is not restrained to old lecture technique. The everyday quest is on to discover better approaches to make it more successful and productive for students. These days, masses of data are gathered in educational databases, however it stays unutilized. To be able to get required advantages from such major information, effective tools are required. Data mining is a developing capable tool for examination and expectation. It is effectively applied in the field of fraud detection, marketing, promoting, forecast and loan assessment. However, it is in incipient stage in the area of education. In this paper, data mining techniques have been applied to construct a classification model to predict the performance of students.

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