Paper Title
Fine-Grained Co-Occurrence Analysis for Precise Data Representation
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Registration ID: IJNRD_308974
Published ID: IJNRD2508200
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Keywords
Behavioural modelling, online payment analysis, knowledge graph, heterogeneous network embedding, cybersecurity, transaction data enhancement, e-commerce fraud detection, precision banking systems.
Abstract
The rapid expansion of e-commerce has led to a significant rise in cybercrime, particularly in the domain of online payment systems. Ensuring accurate and secure online payment analysis remains a critical challenge for digital financial services. Among various techniques, behaviour-based scrutiny has revealed great potential in enhancing payment precision. However, the low quality and granularity of behavioural data often hinder the effectiveness of such models. To address this, the present study introduces a data enhancement tactic that influences familiarity graphs to extract fine-grained co-occurrence relationships among transactional attributes. These relationships are further enriched through heterogeneous network embedding techniques, enabling the construction of more robust and representative behavioural models. The proposed framework supports multiple modelling paradigms, including population-level, individual-level, and generalized-agent-based models, each benefiting from customized embedding strategies. Experimental validation using real-world data from a commercial bank establishes momentous enhancements in the accurateness and reliability of online payment analysis. This work represents a novel contribution by integrating attribute-level knowledge graph embeddings into diverse behavioural modelling systems, thereby enhancing the precision of e-commerce payment analytics.
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How To Cite (APA)
Dr. Shankaragowda B B & Aishwarya H G (August-2025). Fine-Grained Co-Occurrence Analysis for Precise Data Representation. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 10(8), b852-b857. https://ijnrd.org/papers/IJNRD2508200.pdf
Issue
Volume 10 Issue 8, August-2025
Pages : b852-b857
Other Publication Details
Paper Reg. ID: IJNRD_308974
Published Paper Id: IJNRD2508200
Research Area: Science All
Author Type: Indian Author
Country: Davanagere, Karnataka, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2508200.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2508200
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