Name: ATM CARD Fraud Detection Using Machine Learning (en Inglés)
SKU: 57253134
Price: 62.16 USD
Availability: InStock
Author: Siddanthapu, Sai Harsha Kiran ; Goddanty, Venu Madhava Murthy ; Boddu, Pavan Prithvi
ISBN: 9786139445363

portada ATM CARD Fraud Detection Using Machine Learning (en Inglés)

ATM CARD Fraud Detection Using Machine Learning (en Inglés)

Formato

Libro Físico

Autor

Sai Harsha Kiran Siddanthapu

Venu Madhava Murthy Goddanty

Pavan Prithvi Boddu

Editorial

LAP Lambert Academic Publishing

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

Dimensiones

22.9x15.2x0.3 cm

Peso

0.10 kg.

ISBN13

9786139445363

ATM CARD Fraud Detection Using Machine Learning (en Inglés)

Sai Harsha Kiran Siddanthapu (Autor) · Venu Madhava Murthy Goddanty (Autor) · Pavan Prithvi Boddu (Autor) · LAP Lambert Academic Publishing · Tapa Blanda

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Reseña del libro "ATM CARD Fraud Detection Using Machine Learning (en Inglés)"

Financial fraud is an ever-growing menace with far consequences in the financial industry. Data mining had played an imperative role in the detection of ATM card fraud in online transactions. ATM card fraud detection, which is a data mining problem, becomes challenging due to two major reasons - first, the profiles of normal and fraudulent behaviors change constantly and secondly, ATM card fraud datasets are highly skewed. The performance of fraud detection in ATM card transactions are greatly affected by the sampling approach on the dataset, selection of variables and detection technique(s) used. This project investigates the performance of naïve bayes, k-nearest neighbor and logistic regression on highly skewed ATM card fraud data. We build and present a machine learning model to analyze & predict fraudulent transactions. The work is implemented in R, which is a programming language for statistical computing and graphics.