Abstract by Rachael Young
Applying Data Mining to SHARP Surveys
Every other year the Utah conducts a Student Health and Risk Prevention (SHARP) Survey which assesses adolescent substance use, anti-social behavior, and the risk and protective factors that predict these adolescent problem behaviors in grades 6, 8, 10, and 12. This data has much potential to find predictive factors of problems faced by teenagers today, however the large amounts of data it contains makes it difficult for a human to find underlying patterns. We apply data mining to find useful patterns from the data that could give us further insights into the problems facing teenagers today.