Analysis of Breast Feeding Data Using Data Mining Methods

The purpose of this study is to demonstrate the benefit of using common data mining techniques on survey data where statistical analysis is routinely applied. The statistical survey is commonly used to collect quantitative information about an item in a population. Statistical analysis is usually carried out on survey data to test hypothesis. We report in this paper an application of data mining methodologies to breast feeding survey data which have been conducted and analysed by statisticians. The purpose of the research is to study the factors leading to deciding whether or not to breast feed a new born baby. Various data mining methods are applied to the data. Feature or variable selection is conducted to select the most discriminative and least redundant features using an information theory based method and a statistical approach. Decision tree and regression approaches are tested on classification tasks using features selected. Risk pattern mining method is also applied to identi...

• Type: Conference
• Year: 2006
• Where: AUSDM
• Authors: Hongxing He, Huidong Jin, Jie Chen, Damien McAullay, Jiuyong Li, Tony Fallon
• Keywords: AUSDM 2006, Data Mining, Data Mining Methods, Survey Data