Process Mining with Streaming Data
Animated cover design for Sebastian J. van Zelst his thesis on process mining.
Modern information systems allow us to track, often in great detail, the execution of processes within companies. Consider for example luggage handling in airports, manufacturing processes of products and goods, or processes related to service provision, all of these processes generate traces of valuable event data. Such event data are typically stored in a company’s information system and describe the execution of the process at hand. In recent years, the field of process mining has emerged. Process mining techniques aim to translate the data captured during the process execution, i.e. the event data, into actionable insights.
Modern information systems allow us to track, often in great detail, the execution of processes within companies. Consider for example luggage handling in airports, manufacturing processes of products and goods, or processes related to service provision, all of these processes generate traces of valuable event data. Such event data are typically stored in a company’s information system and describe the execution of the process at hand. In recent years, the field of process mining has emerged. Process mining techniques aim to translate the data captured during the process execution, i.e. the event data, into actionable insights.
