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A Comparison of Two Strategies for Scaling Up Instance Selection in Huge Datasets.

, , and . CAEPIA, volume 7023 of Lecture Notes in Computer Science, page 64-73. Springer, (2011)

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Scaling Up Feature Selection by Means of Democratization., and . IEA/AIE (2), volume 6097 of Lecture Notes in Computer Science, page 662-672. Springer, (2010)A Comparison of Two Strategies for Scaling Up Instance Selection in Huge Datasets., , and . CAEPIA, volume 7023 of Lecture Notes in Computer Science, page 64-73. Springer, (2011)A scalable method for instance selection for class-imbalance datasets., and . ISDA, page 1383-1390. IEEE, (2011)Instance selection based on boosting for instance-based learners., , and . Pattern Recognit., (2019)Instance Selection for Class Imbalanced Problems by Means of Selecting Instances More than Once., , and . CAEPIA, volume 7023 of Lecture Notes in Computer Science, page 104-113. Springer, (2011)A Scalable Feature Selection Method to Improve the Analysis of Microarrays., , and . Modern Advances in Intelligent Systems and Tools, volume 431 of Studies in Computational Intelligence, Springer, (2012)Large scale instance selection by means of federal instance selection., , and . Data Knowl. Eng., (2012)Feature Selection for Translation Initiation Site Recognition., , and . IEA/AIE (2), volume 6704 of Lecture Notes in Computer Science, page 357-366. Springer, (2011)Large Scale Instance Selection by Means of a Parallel Algorithm., , and . IDEAL, volume 6283 of Lecture Notes in Computer Science, page 1-12. Springer, (2010)Scaling up data mining algorithms: review and taxonomy., and . Progress in AI, 1 (1): 71-87 (2012)