Space-time data mining in dynamic sensor systems

Space-time data mining is used in almost all big data systems. Metadata is also stored for each generated data point. These contain information about the place and time of generation. In this work the particulate matter data set of luftdaten.info is analysed. The data is collected via a large dynamic sensor system in a crowd-sensing context. Different spatiotemporal data mining methods are used and evaluated on these dynamic time series based real data.