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Welcome To The Machine: Privacy And Workplace Implications Of Predictive Analytics, Robert Sprague Apr 2015

Welcome To The Machine: Privacy And Workplace Implications Of Predictive Analytics, Robert Sprague

Robert Sprague

Predictive analytics use a method known as data mining to identify trends, patterns, or relationships among data, which can then be used to develop a predictive model. Data mining itself relies upon big data, which is “big” not solely because of its size but also because its analytical potential is qualitatively different. “Big data” analysis allows organizations, including government and businesses, to combine diverse digital datasets and then use statistics and other data mining techniques to extract from them both hidden information and surprising correlations. These data are not necessarily tracking transactional records of atomized behavior, such as the purchasing …

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Automated Extraction Of Community Mobility Measures From Gps Stream Data Using Temporal Dbscan, Sungsoon Hwang, Timothy Hanke, Christian Evans May 2013

Automated Extraction Of Community Mobility Measures From Gps Stream Data Using Temporal Dbscan, Sungsoon Hwang, Timothy Hanke, Christian Evans

Sungsoon Hwang

Inferring community mobility of patients from GPS data has received much attention in health research. Developing robust mobility (or physical activity) monitoring systems relies on the automated algorithm that classifies GPS track points into events (such as stops where activities are conducted, and routes taken) accurately. This paper describes the method that automatically extracts community mobility measures from GPS track data. The method uses temporal DBSCAN in classifying track points, and temporal filtering in removing noises (any misclassified track points). The result shows that the proposed method classifies track points with 88% accuracy. The percent of misclassified track points decreased …

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