BYU

Abstract by Rachael Young

Personal Infomation


Presenter's Name

Rachael Young

Co-Presenters

None

Degree Level

Undergraduate

Co-Authors

None

Abstract Infomation


Department

Computer Science

Faculty Advisor

Christophe Giraud-Carrier

Title

Applying Data Mining to SHARP Surveys

Abstract

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.