Identifying Bank Frauds Using CRISP-DM and Decision Trees

Author:

Carneiro da Rocha Bruno,Timoteo de Sousa Junior Rafael

Publisher

Academy and Industry Research Collaboration Center (AIRCC)

Cited by 8 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. An Exploration of the Computer Big Data Mining Service Model Under Resource Sharing;Information Resources Management Journal;2024-03-12

2. Predictive Maintenance in the Industrial Sector: A CRISP-DM Approach for Developing Accurate Machine Failure Prediction Models;2023 Fifth International Conference on Advances in Computational Tools for Engineering Applications (ACTEA);2023-07-05

3. EnLEFD‐DM: Ensemble Learning based Ethereum Fraud Detection using CRISP‐DM framework;Expert Systems;2023-06-19

4. Analysis and prediction supermarket sales with data mining using rapidminer;INTERNATIONAL CONFERENCE ON INDUSTRIAL, ENTERPRISE, AND SYSTEM ENGINEERING: Collaboration of Science, Technology, and Innovation Toward Sustainable Development;2023

5. A Reference Process for Judging Reliability of Classification Results in Predictive Analytics;Proceedings of the 10th International Conference on Data Science, Technology and Applications;2021

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