Pérez-Alonso, AlainBlanco, Ignacio J.Serrano, José M.González-González, Luisa M.2024-01-292024-01-292021-03-31Pérez-Alonso, A., Blanco, I. J., Serrano, J. M., & González-González, L. M. (2021). Incremental maintenance of discovered fuzzy association rules. Fuzzy Optimization and Decision Making, 1-21.1568-4539https://doi.org/10.1007/s10700-021-09350-3https://link.springer.com/article/10.1007/s10700-021-09350-3https://hdl.handle.net/10953/1738Fuzzy association rules (FARs) are a recognized model to study existing relations among data, commonly stored in data repositories. In real-world applications, transactions are continuously processed with upcoming new data, rendering the discovered rules information inexact or obsolete in a short time. Incremental mining methods arise to avoid re-runs of those algorithms from scratch by re-using information that is systematically maintained. These methods are useful for extracting knowledge in dynamic environments.However, executing the algorithms only to maintain previously discovered information creates inefficiencies in real-time decision support systems. In this paper, two active algorithms are proposed for incremental maintenance of previously discovered FARs, inspired by efficient methods for change computation. The application of a generic form of measures in these algorithms allows the maintenance of a wide number of metrics simultaneously. We also propose to compute data operations in real-time, in order to create a reduced relevant instance set. The algorithms presented do not discover new knowledge; they are just created to efficiently maintain valuable information previously extracted, ready for decision making. Experimental results on education data and repository data sets showthat our methods achieve a good performance. In fact, they can significantly improve traditional mining, incremental mining, and a naïve approach.engFuzzy association rulesIncremental maintenanceReal-time decision support systemsActive databasesIncrementalmaintenance of discovered fuzzy association rulesinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccess