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Exhaustive search algorithms to mine subgroups on Big Data using Apache Spark.

, , and . Progress in AI, 6 (2): 145-158 (2017)

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A Data Structure to Speed-Up Machine Learning Algorithms on Massive Datasets., , , and . HAIS, volume 9648 of Lecture Notes in Computer Science, page 365-376. Springer, (2016)An evolutionary algorithm for mining rare association rules: A Big Data approach., , and . CEC, page 2007-2014. IEEE, (2017)Mining association rules on Big Data through MapReduce genetic programming., , , and . Integr. Comput. Aided Eng., 25 (1): 31-48 (2018)LAC: Library for associative classification., , and . Knowl. Based Syst., (2020)Subgroup discovery in MOOCs: a big data application for describing different types of learners., , , , and . Interact. Learn. Environ., 30 (1): 127-145 (2022)Mining Perfectly Rare Itemsets on Big Data: An Approach Based on Apriori-Inverse and MapReduce., , and . ISDA, volume 557 of Advances in Intelligent Systems and Computing, page 508-518. Springer, (2016)Subgroup Discovery on Big Data: Exhaustive Methodologies Using Map-Reduce., , and . Trustcom/BigDataSE/ISPA, page 1684-1691. IEEE, (2016)A Grammar-Guided Genetic Programing Algorithm for Associative Classification in Big Data., , and . Cogn. Comput., 11 (3): 331-346 (2019)Apriori Versions Based on MapReduce for Mining Frequent Patterns on Big Data., , , and . IEEE Trans. Cybern., 48 (10): 2851-2865 (2018)Associative Classification in Big Data through a G3P Approach., , and . IoTBDS, page 94-102. SciTePress, (2019)