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Near Duplicate Document Detection For Large Information Flows by ayushigupta18apr is a document available to read on EtoBox.

The paper presents a new algorithm for detecting near duplicate documents using q-grams to enhance information quality in large data flows. It introduces an efficient indexing method and a similarity measure for comparing document q-gram occurrences, tested in a multifeed news content management system. Experimental results indicate the algorithm

Author
ayushigupta18apr
Language
EN