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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.
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 ...
The approaches are characterized by the type of similarity assessment they undertake: global or local. Global similarity assessment approaches use the characteristics taken from larger parts of the text or the document as a whole to compute similarity, while local methods only examine pre-selected text segments as input. [citation needed]
Submissions are checked against (public) online documents, a (private) shared repository, and the user's own (private) repository. [9] PlagTracker: Devellar 2011 freemium: SaaS: Latin, Cyrillic Rated as "Useless for academic purposes" by Plagiats Portal [10] Turnitin: iParadigms 1997 proprietary: SaaS: Latin & multiple scripts through ...
Turnitin checks and archives millions of papers and uses its database and algorithms to identify plagiarized material. [1]Submissions are compared to over 17 billion web pages, 200 million student papers, and over 100 million additional articles from content publishers, including library databases, text-books, digital reference collections, subscription-based publications, homework helper ...
Testing various clustering algorithms and analyzing their results to find a suitable match for our task (determining which modules are similar and possible candidates to be merged). Also contains a brief literature review of code similarity detection. List of possible candidates for improvement of clustering using better algorithms.
Given a matrix of rank dissimilarities between a set of samples, each belonging to a single site (e.g. a single treatment group), the ANOSIM tests whether we can reject the null hypothesis that the similarity between sites is greater than or equal to the similarity within each site. The test statistic R is calculated in the following way:
The service was launched in 2004 and is headquartered in Oakland, California.It is marketed to "publishers, news agencies, corporations, law firms, and government agencies". [1]
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