MUSEM: Combining Multi-UpSampling and Ensemble learning Methods for Effective Financial Fraud Detection

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Authors

Publication Details

Journal
International Journal of Data Analysis Techniques and Strategies
Published
2025-03-29
DOI
https://doi.org/10.1504/ijdats.2026.10070295
Primary Topic
Imbalanced Data Classification Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

MUSEM: Combining Multi-UpSampling and Ensemble learning Methods for Effective Financial Fraud Detection

Hossein Rahmani, Asieh Bagheri, Mohamad Mahdi Yadegar
International Journal of Data Analysis Techniques and Strategies
Imbalanced Data Classification Techniques
article

MUSEM: Combining Multi-UpSampling and Ensemble learning Methods for Effective Financial Fraud Detection

Hossein Rahmani, Asieh Bagheri, Mohamad Mahdi Yadegar
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Data Analysis Techniques and StrategiesVol. 18(2)
Peace, Justice and strong institutions
Openalex Percentile: Top 97%
Imbalanced Data Classification Techniques
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