Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Logic,Software
Reference30 articles.
1. Agrawal, R., Imieliński, T., & Swami, A. (1993). Mining association rules between sets of items in large databases. SIGMOD Record, 22(2), 207–216.
2. Berzal, F., Blanco, I., Sánchez, D., & Vila, M. A. (2002). Measuring the accuracy and interest of association rules: A new framework. Intelligent Data Analysis, 6(3), 221–235.
3. Boettcher, M., Ruß, G., Nauck, D., & Kruse, R. (2009). From change mining to relevance feedback: A unified view on assessing rule interestingness. In Post-mining of association rules: Techniques for effective knowledge extraction (pp. 12–37).
4. Cabot, J., & Teniente, E. (2005). Computing the relevant instances that may violate an OCL constraint. In O. Pastor & J. Falcão e Cunha (Eds.), Advanced information systems engineering. Lecture notes in computer science (Vol. 3520, pp. 48–62). Berlin: Springer.
5. Cadenas, J. M., & Verdegay, J. L. (2009). Towards a new strategy for solving fuzzy optimization problems. Fuzzy Optimization and Decision Making, 8(3), 231–244.
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