1 CD-ROM (PDF file (xiii,193 pages, illustrations)) ; 12 cm
4 3/4 in
Summary
Summary: This thesis develops machine learning techniques to discover activities and contexts from pervasive sensor data. These techniques are especially suitable for streaming sensor data as they can infer the context space automatically. They are applicable in many real world applications such as activity monitoring or organization management
Notes
Submitted to the School of Information Technology in the Faculty of Science, Engineering and Built Environment, Deakin University
