A MapReduce-Based k-Nearest Neighbor Approach for Big Data Classification


The k-Nearest Neighbor classifier is one of the most well known methods in data mining because of its effectiveness and simplicity. Due to its way of working, the application of this classifier may be restricted to problems with a certain number of examples, especially, when the runtime matters. However, the classification of large amounts of data is… (More)
DOI: 10.1109/Trustcom.2015.577


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