Test Article of International Journal of Machine Learning and Predictive Analytics

  • Authors

    • Scholar Scholar Sync Author

    DOI:

    https://doi.org/10.15662/4ef46e93

    Published 2025-11-23

  • machine learning, predictive analysis

    How to Cite

    Test Article of International Journal of Machine Learning and Predictive Analytics. (2025). International Journal of Machine Learning and Predictive Analytics, 1(1), 1-10. https://doi.org/10.15662/4ef46e93
  • Abstract

    Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.

  • References

    1] Suleiman, A., & Kassem, G. (2024). Process mining enabled cognitive RPA to automate data entry tasks in ERP systems. ICSBT 2024, 123.

    [2] Afifi, C., Khebizi, A., & Halimi, K. (2024). A systematic survey of the business process mining-based approaches. International Journal of Business Process Integration and Management, 11(4), 314-331.

    [3] Top 8 ERP Trends: What to Expect in 2024 & Beyond, technologyevaluation, 2023. online. https://technologyevaluation.com/research/article/erp-trends.html

    [4] Rott, J., Böhm, M., & Krcmar, H. (2024). Laying the ground for future cross-organizational process mining research and application: a literature review. Business Process Management Journal, 30(8), 144-206.

  • Downloads