Credit Card Fraud Detection Using Cortical Learning Algorithm

Name: Credit Card Fraud Detection Using Cortical Learning Algorithm
Brand: LAP Lambert Academic Publishing
SKU: 9783659956782
Price: 146.4 PLN
Availability: InStock

Autor: Linda Oghenekaro, Chidiebere Ugwu

Język:

Oprawa: Miękka

Wydawca: LAP Lambert Academic Publishing

Dostępność: Dostępna u dostawcy

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As financial institutions in the world drive towards achieving a cashless economy, by increasing cit...

Informacje o książce

Autor

Linda Oghenekaro, Chidiebere Ugwu

Język

Angielski

Oprawa

Książka - Miękka

Data wydania

2016

strony

112

EAN

9783659956782

Enbook ID

15201387

Wydawca

LAP Lambert Academic Publishing

Waga

185

Wymiary

150 x 220 x 7

Pełny opis

As financial institutions in the world drive towards achieving a cashless economy, by increasing citizens spending power and reducing the high cost of money handling, the use of credit cards is of great necessity for this purpose, hence, with this new drive for a cashless economy, there will be significant increase of the use of credit card and also fraudulent activities associated with it. This work serves as a proactive measure in detecting fraudulent activities regarding the credit card. The study presents a hierarchical temporal memory based model that can detect fraudulent transactions carried out with the use of credit card. A novel approach in machine learning known as the Cortical Learning Algorithm was adopted to build the credit card fraud detection model. The algorithm worked on the credit card data obtained from the UCI Repository, it converted the highly populated data to a sparse representation, and then used its learning columns to learn spatial patterns. The Object Oriented Analysis and Design methodology was used in this work and was implemented using Java programming language. The resulting model performed online learning and recorded high percentage accuracy.

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