Addressing multi-users open challenge in habit mining for a process mining-based approach
Models of human habits in smart spaces can be expressed by using a multitude of formalisms, whose readability influences the possibility of being validated by human experts. Given the growing availability of low-cost sensing devices promoted by the emerging Internet-of-Things, the analysis of huge amount of data produced by these systems will assume an utmost importance in the near future. But most of them are designed for single user cases. Moving forward in their development, often they hardly fit a realistic environment with many users.