engleski

Application of knowledge discovery in databases techniques to analysis of survey data on substance abuse

Knowledge discovery in databases (KDD) was evaluated for its potential application in analysis on survey data on substance abuse. Data for 238 psychosocial variables were collected from high school adolescents (N=4198). One criterion variable (marijuana/hashish abuse) and 77 potential predictor variables were selected for linear regression and decision tree analyses. Results obtained by both methods are presented and compared. It is concluded that KDD techniques offer much opportunity for discovery of new patterns in survey data, model development of substance abuse, and prevention activity.

knowledge discovery in databases; data mining; substance abuse; survey

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