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Nosheen, F., Qamar, U., & Raza, S. (2022, May). A Novel Approach for Periodically Updating Rough Approximations Upon Multi-Dimension Variation. In 2022 2nd International Conference on Digital Futures and Transformative Technologies (ICoDT2) (pp. 1-7)
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Nosheen, F., Qamar, U., & Raza, M. S. (2022, February). A Heuristic Approach to Dynamically Update Approximations of Dominance Based Rough Set Theory. In 2022 24th International Conference on Advanced Communication Technology (ICACT) (pp. 341-346). I
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Nosheen, F., Qamar, U., & Raza, M. S. (2022). A parallel rule-based approach to compute rough approximations of dominance based rough set theory. Engineering Applications of Artificial Intelligence, 115, 105285.
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Nosheen, F., Qamar, U., & Raza, M. S. (2022). Redefining preliminaries of dominance-based rough set approach. Soft Computing, 26(3), 977-1002.
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Muhammad Summair Raza and Usman Qamar. "Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications", Springer, 2017 (First Edition)
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Muhammad Summair Raza and Usman Qamar. "Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications", Springer,2019(Second Edition)
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Qamar, Usman, and Muhammad Summair Raza. "Data Science Concepts and Techniques with Applications." Springer, 2020.
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Muhammad Summair Raza, Shafqat Hussain, Ahmad Mohsin, “An integrated approach for developing semantic mismatch free commercial off the shelf components”, published at ACM, International Conference on Frontiers of Information technology, 2010, Islam
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Muhammad Summair Raza and Usman Qamar. "A Rough Set Based Feature Selection Approach Using Random Feature Vectors." Frontiers of Information Technology (FIT), 2016 International Conference on. IEEE, 2016.
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Muhammad Summair Raza and Usman Qamar. "A hybrid feature selection approach based on heuristic and exhaustive algorithms using Rough set theory." Proceedings of the International Conference on Internet of things and Cloud Computing. ACM, 2016.
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Ahmad, A., Qamar, U., & Raza, S. (2020, February). Computationally Efficient Approximation Algorithm of Dominance Based Rough Set Approach. In 2020 22nd International Conference on Advanced Communication Technology (ICACT) (pp. 571-576). IEEE.
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Muhammad Summair Raza and Usman Qamar. "An incremental dependency calculation technique for feature selection using rough sets." Information Sciences 343 (2016): 41-65
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Muhammad Summair Raza and Usman Qamar. "Redefining core preliminary concepts of classic Rough Set Theory for feature selection." Engineering Applications of Artificial Intelligence 65 (2017): 375-387.
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Muhammad Summair Raza and Usman Qamar. "Feature selection using rough set-based direct dependency calculation by avoiding the positive region." International Journal of Approximate Reasoning 92 (2018): 175-197.
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Muhammad Summair Raza and Usman Qamar. "A parallel rough set based dependency calculation method for efficient feature selection." Applied Soft Computing 71 (2018): 1020-1034.
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Muhammad Summair Raza and Usman Qamar. "A heuristic based dependency calculation technique for rough set theory." Pattern Recognition 81 (2018): 309-325.
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Raza, Muhammad Summair, and Usman Qamar. "A parallel approach to calculate lower and upper approximations in dominance based rough set theory." Applied Soft Computing 84 (2019): 105699.
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Ahmad, Aleena, Usman Qamar, and Muhammad Summair Raza. "An optimized method to calculate approximations in Dominance based Rough Set Approach." Applied Soft Computing 97 (2020): 106731.
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Ibrahim, M., Nabi, S., Baz, A., Alhakami, H., Raza, M. S., Hussain, A., ... & Djemame, K. (2020). An In-Depth Empirical Investigation of State-of-the-Art Scheduling Approaches for Cloud Computing. IEEE Access, 8, 128282-128294.
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Iqbal, A., Raza, M. S., Ibrahim, M., Baz, A., Alhakami, H., & Saeed, M. A. (2020). An Improved Approach for Finding Rough Set Based Dynamic Reducts. IEEE Access, 8, 173008-173023.
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Abbas, G., Mehmood, A., Lloret, J., Raza, M. S., & Ibrahim, M. (2020). FIPA-based reference architecture for efficient discovery and selection of appropriate cloud service using cloud ontology. International Journal of Communication Systems, 33(14)
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