Mining process logs has been increasingly attracting the data mining community, due to the
chances the development of process mining techniques can offer to the analysis and design
of complex processes. Currently, these techniques focus on “structural” aspects by only
considering which activities were executed and in which order, and disregard any other kind
of data usually kept by real systems (eg, activity executors, parameter values, and time-
stamps). In this article, we aim at discovering different process variants by clustering process …

Process-oriented systems have been increasingly attracting data mining community, due to
the opportunities the application of inductive process mining techniques to log data can
open to both the analysis of complex processes and the design of new process models.
Currently, these techniques focus on structural aspects of the process and disregard data
that are kept by many real systems, such as information about activity executors, parameter
values, and time-stamps. In this paper, an enhanced process mining approach is presented …