Evaluating the benefits of using proactive transformed-domain-based techniques in fraud detection tasks-Reference-Cited by-同舟云学术

Evaluating the benefits of using proactive transformed-domain-based techniques in fraud detection tasks

Published:2019-04 Issue: Volume:93 Page:18-32
ISSN:0167-739X
Container-title:Future Generation Computer Systems
language:en
Short-container-title:Future Generation Computer Systems

Author:

Saia Roberto,Carta Salvatore

Funder

Regione Autonoma della Sardegna

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference58 articles.

1. Towards data analysis for weather cloud computing;Chang;Knowl.-Based Syst.,2017

2. Business intelligence for e-commerce: Survey and research directions;Ferreira,2017

3. The class imbalance problem: A systematic study;Japkowicz;Intell. Data Anal.,2002

4. M. Lek, B. Anandarajah, N. Cerpa, R. Jamieson, Data mining prototype for detecting e-commerce fraud, in: S. Smithson and J. Gricar and M. Podlogar and S. Avgerinou (Eds.), Proceedings of the 9th European Conference on Information Systems, Global Co-operation in the New Millennium, ECIS 2001, Bled, Slovenia, June 27–29, 2001, pp. 160–165.

5. Artificial intelligence based fraud agent to identify supply chain irregularities;Hoffman,2005

Cited by 36 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. Gamma–lindley regression cure model for corporate credit default prediction;Expert Systems with Applications;2024-12

2. GAT-COBO: Cost-Sensitive Graph Neural Network for Telecom Fraud Detection;IEEE Transactions on Big Data;2024-08

3. Effective Adversarial Examples Identification of Credit Card Transactions;IEEE Intelligent Systems;2024-07

4. Utilization of Encoding, Early Stopping, Hyper Parameter Tuning, and Machine Learning Models for Bank Fraud Detection;2023 IEEE 9th International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE);2023-11-25

5. Java in Action : AI for Fraud Detection and Prevention;International Journal of Scientific Research in Computer Science, Engineering and Information Technology;2023-11-01