  The number of events recorded for operational processes is growing every
year. This applies to all domains: from health care and e-government to
production and maintenance. Event data are a valuable source of information for
organizations that need to meet requirements related to compliance, efficiency,
and customer service. Process mining helps to turn these data into real value:
by discovering the real processes, by automatically identifying bottlenecks, by
analyzing deviations and sources of non-compliance, by revealing the actual
behavior of people, etc. Process mining is very different from conventional
data mining and machine learning techniques. ProM is a powerful open-source
process mining tool supporting hundreds of analysis techniques. However, ProM
does not support analysis based on scientific workflows. RapidProM, an
extension of RapidMiner based on ProM, combines the best of both worlds.
Complex process mining workflows can be modeled and executed easily and
subsequently reused for other data sets. Moreover, using RapidProM, one can
benefit from combinations of process mining with other types of analysis
available through the RapidMiner marketplace.
