Effective fraud detection in e-commerce: Leveraging machine learning and big data analytics

Author:

Byrapu Reddy Surendranadha Reddy,Kanagala Praneeth,Ravichandran Prabu,Pulimamidi Dr Rahul,Sivarambabu P.V.,Polireddi Naga Simhadri Apparao

Publisher

Elsevier BV

Reference19 articles.

1. Financial fraud: a review of anomaly detection techniques and recent advances;Hilal;Expert Syst. Appl.,2021

2. Intelligent fraud detection in financial statements using machine learning and data mining: a systematic literature review;Ashtiani;IEEE Access,2021

3. Detecting financial fraud using data mining techniques: a decade review from 2004 to 2015;Albashrawi;J. Data Sci.,2016

4. An artificial intelligence approach to financial fraud detection under IoT environment: a survey and implementation;Choi;Secur. Commun. Network.,2018

5. The application of data mining techniques in financial fraud detection: a classification framework and an academic review of literature;Ngai;Decis. Support Syst.,2011

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Artificial Intelligence in E-Commerce;Advances in Web Technologies and Engineering;2024-08-30

2. Fraud Detection in E-Commerce Transactions Using Machine Learning Techniques and Quantum Networks;Advances in Computational Intelligence and Robotics;2024-08-02

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