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Clustering Very Large Multi-dimensional Datasets with MapReduce, , , , , and . Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Diego, CA, USA, August 21-24, 2011, page 690-698. ACM, (2011)Classificação de Restrições de Integridade em Bancos de Dados Temporais de Versões., , , and . SBBD, page 363-377. UnB, (2004)The Images and Data Bases Group at University of São Paulo., , , , , and . J. Inf. Data Manag., 4 (1): 2-16 (2013)Finding Clusters in subspaces of very large, multi-dimensional datasets., , , and . ICDE, page 625-636. IEEE Computer Society, (2010)A Deep Classification of Temporal Versioned Integrity Constraints for Designing Database Applications., , , and . SEKE, page 416-421. Knowledge Systems Institute Graduate School, (2007)Unsupervised dimensionality reduction for very large datasets: Are we going to the right direction?, and . Knowl. Based Syst., (2020)Clustering very large multi-dimensional datasets with MapReduce., , , , , and . KDD, page 690-698. ACM, (2011)A New Division Operator to Handle Complex Objects in Very Large Relational Datasets., and . EDBT, page 474-477. OpenProceedings.org, (2017)Evaluating the Diversification of Similarity Query Results., , , , , and . J. Inf. Data Manag., 4 (3): 188-203 (2013)Detecting Influencers in Very Large Social Networks of Games., and . ICEIS (1), page 93-103. SciTePress, (2019)