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Subgroup Discovery on Big Data: Exhaustive Methodologies Using Map-Reduce.

, , и . Trustcom/BigDataSE/ISPA, стр. 1684-1691. IEEE, (2016)

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Francisco Gaona

Francisco Castellanos

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Francisco Carabelli

 

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An evolutionary algorithm for mining rare association rules: A Big Data approach., , и . CEC, стр. 2007-2014. IEEE, (2017)Mining association rules on Big Data through MapReduce genetic programming., , , и . Integr. Comput. Aided Eng., 25 (1): 31-48 (2018)A Data Structure to Speed-Up Machine Learning Algorithms on Massive Datasets., , , и . HAIS, том 9648 из Lecture Notes in Computer Science, стр. 365-376. Springer, (2016)LAC: Library for associative classification., , и . Knowl. Based Syst., (2020)Subgroup discovery in MOOCs: a big data application for describing different types of learners., , , , и . Interact. Learn. Environ., 30 (1): 127-145 (2022)Mining Perfectly Rare Itemsets on Big Data: An Approach Based on Apriori-Inverse and MapReduce., , и . ISDA, том 557 из Advances in Intelligent Systems and Computing, стр. 508-518. Springer, (2016)Apriori Versions Based on MapReduce for Mining Frequent Patterns on Big Data., , , и . IEEE Trans. Cybern., 48 (10): 2851-2865 (2018)A Grammar-Guided Genetic Programing Algorithm for Associative Classification in Big Data., , и . Cogn. Comput., 11 (3): 331-346 (2019)Subgroup Discovery on Big Data: Exhaustive Methodologies Using Map-Reduce., , и . Trustcom/BigDataSE/ISPA, стр. 1684-1691. IEEE, (2016)Exhaustive search algorithms to mine subgroups on Big Data using Apache Spark., , и . Progress in AI, 6 (2): 145-158 (2017)