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September 27, 2024INFORMS journal on computing

Code and Data Repository for Fraud Detection by Integrating Multisource Heterogeneous Presence-Only Data

Yongqin Qiu Yuanxing Chen Kan Fang Lean Yu Kuangnan Fang

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Abstract

This repository provides data for the problem and code for the method. The main folders are data and code.

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Cite This Study

Qiu et al. (2024) studied this question.

synapsesocial.com/papers/68e5742cb6db6435875141ce https://doi.org/10.1287/ijoc.2023.0366.cd

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Keep reading

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Fraud Detection by Integrating Multisource Heterogeneous Presence-Only Data2024
2An optimized architecture for real-time fraud detection in big data systems, ecosystems, and environments2025
3An Innovative Real-Time Multilayer Framework for Intelligent Big Data Fraud Detection in Digital Ecosystems2025
4Research on the Application of Multi-source Heterogeneous Data Fusion Analysis Technology in Telecom Fraud DetectionOriginal Research · 2026
5An Efficient Advanced Data Integration From Multiple Sources For Fraud Detection Using Etl And Fl-Zsl-Glnrp3n2025

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