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Locality Sensitive Hashing (LSH) uses randomized method to alleviate Nearest Neighbor Search issue in high dimensional spaces. However, handling of big dataset samples for LSH algorithm becomes difficult task because of computational complexity. So, the major aim of this work is to introduce a new LSH algorithm with Hadoop MapReduce framework for enhancing proficiency of arbitrary reads over big dataset...
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