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Web usage mining to improve the design of an e-commerce website: OrOliveSur.com.

, , , , , and . Expert Syst. Appl., 39 (12): 11243-11249 (2012)

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Evolutionary fuzzy rule extraction for subgroup discovery in a psychiatric emergency department., , , , and . Soft Comput., 15 (12): 2435-2448 (2011)Addressing imbalanced classification with instance generation techniques: IPADE-ID., , , , and . Neurocomputing, (2014)An overview on subgroup discovery: foundations and applications., , , and . Knowl. Inf. Syst., 29 (3): 495-525 (2011)A Preliminary Study on the Selection of Generalized Instances for Imbalanced Classification., , , , and . IEA/AIE (1), volume 6096 of Lecture Notes in Computer Science, page 601-610. Springer, (2010)Improvement of subgroup descriptions in noisy data by detecting exceptions., , , and . Progress in AI, 7 (1): 55-64 (2018)A unifying analysis for the supervised descriptive rule discovery via the weighted relative accuracy., , and . Knowl.-Based Syst., (2018)An evolutionary fuzzy system for the detection of exceptions in subgroup discovery., , , , and . IFSA/NAFIPS, page 74-79. IEEE, (2013)Overview on evolutionary subgroup discovery: analysis of the suitability and potential of the search performed by evolutionary algorithms., , , and . WIREs Data Mining Knowl. Discov., 4 (2): 87-103 (2014)An analysis of evolutionary algorithms with different types of fuzzy rules in subgroup discovery., , , and . FUZZ-IEEE, page 1706-1711. IEEE, (2009)The influence of noise on the evolutionary fuzzy systems for subgroup discovery., , , and . Soft Comput., 20 (11): 4313-4330 (2016)