Children Shoes Suggestion System Using Data Mining
The authors present a prototype web application for children shoes suggestion. They are interested in attributes of foot and shoes that can comfort the children's feet. The key attributes are types of shoes, size, and brands. For the feet, there are width, length, thickness, sole curve, toe and others. The application has the database that stores these children shoes and foot characteristics for training. The data mining model is created using decision tree, KNN, neural net and integrated to the application.