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Alataş, B., & Akin, E. (2006). An efficient genetic algorithm for automated mining of both positive and negative quantitative association rules. Soft Computing, 10(3), 230-237.
Ji, L., & Tan, K. L. (2004). Mining gen expression data for positive and negative co-regulated gen clusters. Bioinformatics, 20, 2711-2718.
Lashin, E. F., Kozae, A. M., Khadra, A. A. A., & Medhat, T. (2005). Rough set theory for topological spaces. International Journal of Approximate Reasoning, 40(1-2), 35-43.
Ngo, C. L. (2003). A tolerance rough set approach to clustering Web search results. (Master thesis) The Informatics and Mechanics Warsaw University, Poland.
Nguyen, D. T. (2013). Some extensions of positive and negative rules for discovering basic interesting rules. International Journal of Intelligent Information Systems, 2(4), 64-69.
Shipra, S., & Vivek, J. (2015). Generating positive-negative rules using fuzzy FP-growth & Naïve Bayes. International Journal of Computer Science Engineering and Information Technology Research, 5(2), 31-40.
Shusaku, T. (2004). Mining diagnostic rules from clinical databases using rough sets and medical diagnostic model. Information Sciences, 162(2), 65-80.
Shusaku, T. (2005). Discovery of positive and negative rules from medical databases based on rough sets. In S. Tsumoto, Advanced techniques in knowledge discovery and data mining (233-252). London, UK: Springer-Verlag.
Sonam, J., & Rajeev, G. V. (2015). Generating positive & negative rules using efficient apriori algorithm. International Journal of Advances in Electronics and Computer Science, 2(4), 94-98.
The UCI. (2018). Welcome to the UCI machine learning repository. Retrieved from http://mlearn.ics.uci.edu/mlrepository.html.
Tinghuai, M., Jiazhao, L., Mengmeng, C., & Wei, T. (2009). Inducing positive and negative rules based on rough set. Information Technology Journal 8(7), 1039-1043.
Wu, X., Zhang, C., & Zhang, S. (2004). Efficient mining of both positive and negative association rules. ACM Transactions on Information System, 22(3), 381-405.
DOI: http://dx.doi.org/10.37569/DalatUniversity.8.3.437(2018)
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