Author Identification - An Experiment Based on Mongolian Literature Using Decision Trees

Nowadays, cases of piracies, copyrights, legal disputes and allegations are increasing as far as software is concerned. In such cases it is difficult to say who is right and who is wrong between the two quarreling parties due to insufficient evidences. So, what can be done. Author identification plays a very important role in most of these cases, such as plagiarism detection, masquerade detection, software maintainability and resolving authorship disputes. In this research, we have analyzed the result of an experiment on a text classification using Decision tree method approaches for Mongolian language. We have a training set of documents, each labeled with one of 13 classes. Since it is the first work in this field for Mongolian language no previous work results were available for comparison.