Abstract-Band - Fakultät für Informatik, TU Wien - Technische ...

Thomas Neuböck
Process Mining: Design und Implementierung eines Ansatzes zur zeitnahen
Integration von Ereignisprotokolldaten
Studium: Masterstudium Software Engineering & Internet Computing
Betreuer: Univ.Ass. Dr. Marco Zapletal
Enterprise information systems store information about executed processes in
log structures. These event logs can be used for discovering business
processes. Process Mining techniques extract process information out of the
existing event logs, analyze and interpret the data and use it in corresponding
algorithms for deriving models. The resulting models are visualized and
presented to the decision makers, which are able to make further decisions.
The process mining algorithms deliver the process model in three different
perspectives: (1) process perspective, (2) organizational perspective and (3)
case-perspective. Existing Process Mining techniques perform the extraction
based on historical process information. These traditional Process mining
application scenarios typically require manual extraction and transferring of
the process data, which is usually complex and expensive. Such a proceeding
is inapplicable, if the take-over of data shall be done frequently. Moreover, a
real time monitoring of running processes isnt realizable. A real time or nearreal
time integration of event-logs in existing Process Mining techniques
would require to solve supplementary challenges. This master thesis
discusses two approaches for using Process Mining in real time: (1) Real time
Process Mining as operational support and (2) Using traditional process
mining algorithms in a near-real time manner (the work is focused on this
aspect). Furthermore, the work introduces an implementation for using
traditional scenarios in a near-real time manner. The implemented
architecture includes a Plugin for the ProM Framework, which converts and
imports event-logs into ProM. The second implementation artifact is a
mechanism for recording occurring events. The resulting implementation of
the designed architecture shows, whether a near-real time integration of
event-logs for traditional process mining could be achieved and which further
challenges have to be solved.
Hauke Schuldt
Optimizing ITSM Processes by Knowledge Management
Studium: Masterstudium Information & Knowledge Management
Betreuer: Ao.Univ.Prof. Dr. Jürgen Dorn
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This thesis evaluates how the operative processes of IT service management
(ITSM) can be supported and optimized by the introduction of selected
knowledge management methods. For this reason, the applicability and
usefulness of existing recommendations for knowledge management within
ITSM are evaluated against the requirements of the individual ITSM processes
and the theoretical findings of knowledge management. After the evaluation,