Reed Business Information
The abundant availability of data is typical for information-intensive organizations. Usually, discerning knowledge from vast amounts of data is a challenge. Similarly, discovering Business Process Models from information system event logs is definitely non-trivial. Within the analysis of event logs, process discovery, which can be defined as the automated construction of structured process models from such event logs, is an important learning task. However, the discovery of these processes poses many challenges. First of all, human-centric processes are likely to contain a lot of noise as people deviate from standard procedures. Other challenges are the discovery of so-called non-local, non-free choice constructs, duplicate activities, incomplete event logs and the inclusion of prior knowledge.