A Fine-Grained Data Mining Model Based on Psychometric Data

Abstract

As social development and the pace of life gradually accelerates, psychological pressure and conflict become more and more prominent, and mental health becomes an issue of growing concern for the country and its people. In order to study the relationship between people’s mental health problems and their own personal information factors, the authors use a fine-grained mining model of psychometric data. First, the model clusters user groups through the k-means++ clustering algorithm, determine which group the user belongs to, and then use the C4.5 decision tree algorithm to make predictions in the corresponding group.