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

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

Authors

Kan Fang (ORCID: https://orcid.org/0000-0002-0847-6906)
Yuanxing Chen
Lean Yu (ORCID: https://orcid.org/0000-0002-8035-4938)
Kuangnan Fang (ORCID: https://orcid.org/0000-0003-0934-7281)
Yongqin Qiu (ORCID: https://orcid.org/0009-0006-3725-2289)

Publication Details

Journal: INFORMS journal on computing
Published: 2024-09-27
DOI: https://doi.org/10.1287/ijoc.2023.0366.cd
Primary Topic: Imbalanced Data Classification Techniques
Type: article
Field-Weighted Citation Impact: 0.00

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article

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

Kan Fang, Yuanxing Chen, Lean Yu, Kuangnan Fang et al.

Sep 27, 2024

INFORMS journal on computing

Imbalanced Data Classification Techniques

article

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

Kan Fang, Yuanxing Chen, Lean Yu, Kuangnan Fang, Yongqin Qiu

September 27, 2024article en

Abstract

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

INFORMS journal on computing

Openalex Percentile: Top 85%

Imbalanced Data Classification Techniques

DOI Source OpenAlex

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