Mastering the Art of Data Analysis: Key Techniques and Tools
Introduction:
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Private health insurance (PHI) companies have a growing claims dataset that could be used to identify leading indicators for hospitalisation. This study is primarily focused on addiction, mental health, obesity and musculoskeletal disorders disease groups. Leading indicator analysis employed three methods: association rule mining, sequential rule mining, and a heuristic method. Evaluating program effectiveness was performed using propensity score-based matching. PHI professionals were working alongside the research to aid in comprehending data and essential information from a PHI perspective. ...
Abstract This paper presents an efficient data mining strategy to reveal the operational problems of ground source heat pump (GSHP) systems. Symbolic Aggregate approXimation was employed to identify typical daily load patterns and provide a reference for data partition. Kernel Density Estimation was used to evaluate overall system performance in different operation patterns identified. To find the root causes of inefficient operations, a customized association rule mining model was developed to discover the associations among different attributes. Lastly, the inference tree technique was appl...