Process Mining in the Large

Abstract

Process mining provides the technology to leverage the ever-increasing amounts of event data in modern organizations and societies. Despite the growing capabilities of modern computing infrastructures, event logs may be too large or too complex to be handled using conventional approaches. This chapter focuses on handling “Big Event Data” and relates process mining to Big Data technologies. Moreover, it is shown that process mining problems can be decomposed in two ways, case-based decomposition and activity-based decomposition. Many of the analysis techniques described can be made scalable using such decompositions. Also other performance-related topics such as streaming process mining and process cubes are discussed. The chapter shows that the lion’s share of process mining techniques can be “applied in the large” by using the right infrastructure and approach.