Investigation of the use of alcoholic beverages with data mining methods in students

Nowadays, the risk of being dependent on alcohol and other dangerous substances is increasing danger especially for young people. The age of commencement of using these dangerous substances varies from country to country, but it has fallen to the age of 10 despite all legal regulations. Young people are more vulnerable to taking risks than adults and have less experience. Dangerous experiences are attractive for young people and are an effort to belong to the world of adults. Alcohol addiction is much faster in young people, and alcohol consumption during the youth period increases the risk of alcohol dependence in the following years. In this study, data mining processes are discussed and regression analysis and C 5.0 algorithm of popular data mining methods and the relationship between alcohol consumption and specific factors in young people is investigated.