---
title: Plagiarism Detection
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---

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# Plagiarism Detection

A machine learning algorithm to stop cheating.

Unfortunately plagiarism is a very serious problem in computer science courses. The configurable plagiarism detection system on Mimir Classroom acts as a strong deterrent for those tempted to cheat and catches those who do.

## More than a Simple Diff

Using complex structural, user patterns, and post compilation analysis, Mimir Classroom can catch many of the tricks employed by students to get away with cheating.

## Machine Learning

The Mimir plagiarism algorithm is constantly learning. It learns from feedback and quickly adapts to new cheating methods and different project types.

# Three Levels of Detection

## Current Class Detection

Analyzes each student’s submission against the rest of the class to identify cases of students sharing work.

## Historical Class Detection

When a programming project has been used before we will automatically check each student’s submission against all previous submissions, including previous semesters.

## Web Detection

Checks student submissions for similarities from websites like Stack Overflow and RosettaCode.

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