Knowledge inference from home appliances data

Due to technological advances, massive amount of data is recorded in all areas. Not only the manufacturing processes are monitored and can benefit from data augmentation, but also the utilisation of products produce large amounts of information rich data. With the right set of skills and processing strategies, valuable process-related information can be extracted from such data. However, before applying any complex processing tasks such as user profiling, raw data needs to be preprocessed, and knowledge needs to be extracted. In this paper, we propose a set of steps for knowledge extraction from home appliances data, focusing on user and appliance specific data.