Autonomous Sensor Data Cleaning in Stream Mining Setting

Internet of Things (IoT), earth observation and big scientific experiments
are sources of extensive amounts of sensor big data today. We are faced with large
amounts of data with low measurement costs. A standard approach in such cases is
a stream mining approach, implying that we look at a particular measurement only
once during the real-time processing. This requires the methods to be completely
autonomous. In the past, very little attention was given to the most time-consuming
part of the data mining process, i.e. data pre-processing.