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The KDD Process in Big Data Analytics: A Theoretical Approach to Taxpayer Non-Compliance Analysis Cover

The KDD Process in Big Data Analytics: A Theoretical Approach to Taxpayer Non-Compliance Analysis

Journal of Forensic Accounting Profession
Volume 5 (2025): Issue 1 (June 2025)
By: Arnela Kaknjo and  Lejla Turulja  
Open Access
|Jul 2025

Authors

Arnela Kaknjo

arnela.kaknjo@gmail.com

University of Sarajevo – School of Economics and Business

Lejla Turulja

lejla.turulja@efsa.unsa.ba

University of Sarajevo – School of Economics and Business
DOI: https://doi.org/10.2478/jfap-2025-0002 | Journal eISSN: 2744-1687
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Language: English
Page range: 16 - 42
Submitted on: Jun 15, 2025
|
Accepted on: Jun 30, 2025
|
Published on: Jul 29, 2025
Published by: University of Sarajevo
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
tax non-compliance,
tax debt,
data mining,
financial stability,
earnings per share,
indebtedness,
asset turnover,regression analysis,
KDD process
Related subjects:
Business and economics,
Business management,
Management accounting, financial controlling, cost calculation, investment,
Financial reporting, group accounting, accounting and balancing,
Business law

© 2025 Arnela Kaknjo, Lejla Turulja, published by University of Sarajevo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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