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A Multi-Perspective Fraud Detection Method for Multi-Participant Ecommerce Transaction

Year: 2025

Type: article

Abstract: Tc. It integrates Support Vector Machines (SVM) for fraud classification, Petri nets for anomaly detection, and process mining for conformance checking, ensuring a scalable and robust detection system.

Source: International Journal for Research in Applied Science and Engineering Technology

DOI: 10.22214/ijraset.2025.69284

Author: Mrs. Asha Jyothi Panchala

Language: English

Topic: Imbalanced Data Classification Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4410540278

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