Process automation and process mining are (interconnected) key technologies with respect to digital transformation. Hence, expectations high, in particular, challenging application domains such as manufacturing that combine systems, machines, sensors, users. Moreover, processes operate at a high level of collaboration, e.g. inter-factory or cross-organizational settings. This paper investigates...

Data mining is the process of discovering correlations, patterns, trends or relationships by searching through a large amount of data stored in repositories, corporate databases, and data warehouses. Industrial procedures with the help of engineers, managers, and other specialists, comprise a broad field and have many tools and techniques in their problem-solving arsenal. The purpose of this st...

Abstract Over the last years, process mining has increasingly demonstrated its potential as a valuable tool for internal and external auditors. Thereby, possible use cases in field of auditing are manifold. This chapter focuses especially on context financial audits, which relevant both, Beside short explanation different types auditors, this aims to connect steps an (and later also external) a...

We put forward Answer Set Programming (ASP) as a solution approach for three classical problems in Declarative Process Mining: Log Generation, Query Checking, and Conformance Checking. These correspond to different ways of analyzing business processes under execution, starting from sequences recorded events, a.k.a. event logs. tackle them their data-aware variant, i.e., by considering events th...

One of the most important steps involved in mining operations is to select an appropriate extraction method for mine resources. After choosing the extraction method, it is usually impossible to replace it with another one because it may be so expensive that implementation of the entire project could be economically impossible. Choosing a mining method depends on the geological and geometrical c...