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Original Article
Design and Implementation of a Rule-Based Order Evaluation Engine Using Excel-Driven Data Processing
Anushtha Jha Anjali1
Ankita Suman2
Dr. Ratnesh Mishra3
1 2 Department of Computer Science & Engineering, Birla Institute of Technology, Mesra, Patna, India. 3 Guide, Department of Computer Science & Engineering, Birla Institute of Technology, Mesra, Patna, India.
Published Online: March-April 2026
Pages: 209-220
Cite this article
No DOIReferences
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9. R. Krishnamurthy, C. Li, S. Raghavan, F. Reiss, S. Vaithyanathan, and H. Zhu, "SystemT: A declarative information extraction
system," in Proc. ACL-IJCNLP, Singapore, 2009, pp. 1–4.
10. A. Baget, J.-F. Baget, and M. Mugnier, "Walking the complexity lines for generalized guarded existential rules," in Proc. IJCAI, 2011,
pp. 712–717.
11. O. Cure and G. Blin, RDF Database Systems. Waltham, MA: Morgan Kaufmann, 2015, ch. 7: Rule-Based Inference in RDF Stores,
pp. 193–221.
12. N. Diakopoulos, "Accountability in algorithmic decision making," Communications of the ACM, vol. 59, no. 2, pp. 56–62, Feb. 2016
Union, vol. L 119, pp. 1–88, Apr. 2016.
2. E. H. Shortliffe and B. G. Buchanan, "A model of inexact reasoning in medicine," Mathematical Biosciences, vol. 23, no. 3–4, pp.
351–379, 1975.
3. M. Proctor, M. Neale, P. Lin, and M. Frandsen, "Drools: A Rule Engine for Complex Event Processing," in Proc. Int. Conf. on Web
Engineering (ICWE), Lecture Notes in Computer Science, vol. 6189, Springer, Berlin, 2010, pp. 1–12.
4. IBM Corporation, "IBM Operational Decision Manager: Architecture and Deployment Guide," IBM Redbooks, Technical Report
SC27-4417-03, 2019.
5. C. L. Forgy, "Rete: A fast algorithm for the many pattern/many object pattern match problem," Artificial Intelligence, vol. 19, no. 1,
pp. 17–37, 1982.
6. F. Giunchiglia and T. Walsh, "A theory of abstraction in knowledge representation," in Proc. 5th Int. Workshop on Non-Monotonic
Reasoning, 1992, pp. 145–157.
7. J. H. Friedman, "Greedy function approximation: A gradient boosting machine," Annals of Statistics, vol. 29, no. 5, pp. 1189–1232,
2001.
8. J. Laredo, B. Bhanu, A. Singh, and A. Duncan, "A rule-learning algorithm for fraud detection with hybrid ML/rule integration," IEEE
Trans. Knowledge and Data Engineering, vol. 32, no. 4, pp. 714–728, Apr. 2020.
9. R. Krishnamurthy, C. Li, S. Raghavan, F. Reiss, S. Vaithyanathan, and H. Zhu, "SystemT: A declarative information extraction
system," in Proc. ACL-IJCNLP, Singapore, 2009, pp. 1–4.
10. A. Baget, J.-F. Baget, and M. Mugnier, "Walking the complexity lines for generalized guarded existential rules," in Proc. IJCAI, 2011,
pp. 712–717.
11. O. Cure and G. Blin, RDF Database Systems. Waltham, MA: Morgan Kaufmann, 2015, ch. 7: Rule-Based Inference in RDF Stores,
pp. 193–221.
12. N. Diakopoulos, "Accountability in algorithmic decision making," Communications of the ACM, vol. 59, no. 2, pp. 56–62, Feb. 2016
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