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Techniques for Mining Massive Datasets by praneetm is a document available to read on EtoBox.

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This document discusses techniques for finding similar documents, including shingling, minhashing, and locality sensitive hashing. It introduces these techniques and explains how they work together: shingling converts documents to sets of n-gram strings, minhashing converts these sets to short signatures that preserve similarity, and locality sensitive hashing focuses on signature pairs likely to be similar to identify candidate document pairs for direct comparison. The document provides examples of how cha

Author
praneetm
Language
EN