dc.contributor.author |
Shahed, Md. Shaheduzzaman |
|
dc.contributor.author |
Ibrahim, Khalid |
|
dc.contributor.author |
Akter, Parvin |
|
dc.date.accessioned |
2019-09-08T05:45:49Z |
|
dc.date.available |
2019-09-08T05:45:49Z |
|
dc.date.issued |
2019 |
|
dc.identifier.uri |
http://hdl.handle.net/123456789/3367 |
|
dc.description.abstract |
In terms of all kinds of money transaction there occurs a common problem which is fraud. Fraud
is an increasing concept that can badly affect to the economy over the whole world. There are
various types of fraud such as mobile payment fraud, credit card fraud, bank fraud, insurance
fraud and other financial frauds. So, it is important to prevent fraud from financial transaction to
save the economy system. And predicting fraud is one of the efficient ways for preventing fraud.
The objective of our research is to detect fraud in mobile money transaction using data mining.
Actually, we will analysis a synthetic transactional dataset using classification and will predict
the probability of fraud in future transaction. |
en_US |
dc.language.iso |
en_US |
en_US |
dc.publisher |
Daffodil International University |
en_US |
dc.subject |
Fraud Detection |
en_US |
dc.subject |
Mobile Money |
en_US |
dc.subject |
Money Transaction |
en_US |
dc.subject |
Data Mining |
en_US |
dc.title |
Fraud Detection Mobile Money Transaction : a data mining approach |
en_US |
dc.type |
Thesis |
en_US |