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  2. Unicheck - Wikipedia

    en.wikipedia.org/wiki/Unicheck

    The check results are presented as a similarity report, where each of the similarities that have been found has a link to the source. These reports can be downloaded as PDF documents. Unicheck can be used as a stand-alone online tool, or integrated into an LMS (Learning Management System) via plugin, LTI, API or LTI+API types of integrations.

  3. Content similarity detection - Wikipedia

    en.wikipedia.org/wiki/Content_similarity_detection

    Systems for text similarity detection implement one of two generic detection approaches, one being external, the other being intrinsic. [5] External detection systems compare a suspicious document with a reference collection, which is a set of documents assumed to be genuine. [6]

  4. Turnitin - Wikipedia

    en.wikipedia.org/wiki/Turnitin

    Turnitin (stylized as turnitin) is an Internet-based similarity detection service run by the American company Turnitin, LLC, a subsidiary of Advance Publications. Founded in 1998, it sells its licenses to universities and high schools who then use the software as a service (SaaS) website to check submitted documents against its database and the ...

  5. Comparison of anti-plagiarism software - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_anti...

    Checks against ProQuest databases and (public) web pages. [3] HelioBLAST: Virginia Bioinformatics Institute? (free of charge web service) Latin Submissions are limited to 1,000 words. Checking against abstract and titles in Medline/PubMed. [4] iThenticate: iParadigms 2004 2017 proprietary: SaaS: Latin PlagScan: PlagScan GmbH 2008 limited SaaS ...

  6. Comparison of file comparison tools - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_file...

    Free First public release date Year of latest stable version Windows Macintosh Linux Other platforms Max supported file size Beyond Compare: Scooter Software [1] No; Proprietary: No 1996 2024-11-25 (v5.0.4) Yes Yes Yes > 2GB (64 bits) Compare++: Coode Software [2] No; Proprietary No 2010 2016-7-17 (3.0.1.0b) Yes [3] No No diff, diff3: AT&T

  7. Fuzzy hashing - Wikipedia

    en.wikipedia.org/wiki/Fuzzy_hashing

    Fuzzy hashing exists to solve this problem of detecting data that is similar, but not exactly the same, as other data. Fuzzy hashing algorithms specifically use algorithms in which two similar inputs will generate two similar hash values. This property is the exact opposite of the avalanche effect desired in cryptographic hash functions.

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    mail.aol.com/?icid=aol.com-nav

    Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

  9. Similarity measure - Wikipedia

    en.wikipedia.org/wiki/Similarity_measure

    Similarity measures play a crucial role in many clustering techniques, as they are used to determine how closely related two data points are and whether they should be grouped together in the same cluster. A similarity measure can take many different forms depending on the type of data being clustered and the specific problem being solved.

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