Title: Bayesian Plagiarism

Link: http://ijmlc.org/papers/50-A243.pdf

Reputability Statement: The **International Journal of Machine Learning and Computing (IJMLC)** is an international academic open access that aims to promote the integration of machine learning and computing. One of the lead researchers, Upul Bandara, works as the technical lead of machine learning at Synergen Health LLC.

Comments: This algorithm attempts to use Bayesian forecasting to make a guess as the originality of a given piece of source code. The idea comes from a previous use of Bayesian forecasting to make guesses about the authorship of unattributed documents by analyzing the writing patterns of users. The linked research article compares the bayesian method of detecting plagiarism in source code, with another algorithm, known as the k-nearest neighbor algorithm.