Use of autoencoder and LSTM autoencoder for real-time anomaly detection in banking transactions [ MS Business Analytics] / by Faizan Irshad

By:

Faizan Irshad

Material type: Text

TextPublication details: Lahore : UMT. School of Business and Economics. Department of Management, 2023Description: 39 p. CDSubject(s):

DDC classification:

TP 332.645 FAI-U

Dissertation note: Report presented in partial requirement for MS degree in Business Analytics Advisor : Dr. Fazeel Abid MS School of Business and Economics 2023 F2021110001

Item type:

Theses and Term Papers

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Holdings
Current library	Call number	Status	Date due	Barcode
UMT Main Campus	TP 332.645 FAI-U (Browse shelf(Opens below))	Not for loan		145418

Report presented in partial requirement for MS degree in Business Analytics
Advisor : Dr. Fazeel Abid MS School of Business and Economics 2023 F2021110001

School of Business and Economics

English

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Use of autoencoder and LSTM autoencoder for real-time anomaly detection in banking transactions [ MS Business Analytics] / by Faizan Irshad