Data mining methods and an application for turkish music analysis

As a result of technological development and increasing individual use of technology, data size growing day after day. Increasing PC, tablet PC and smart phone usage, getting easy internet access promates data creating at any moment. As a result of increasing data sets, keeping data under control and analyzing them have become compulsory. Even though data science is generally used in production, economics, informatics, health etc., it is possible to implement it in all sectors where data exist. In this study, data mining methods implemented with Turkish Music repertoire contains 42.662 musical data. And analyses were conducted to determine the relationship between rhythmic patterns in Turkish Music called "usûl" and prosodic patterns called "arûz". In consequence of analysis follows usûl, arûz and music form data is related.