Time prediction based on process mining

Time prediction based on process mining

Process mining allows for the automated discovery of process models from event logs. These models provide insights and enable various types of model-based analysis. This paper demonstrates that the discovered process models can be extended with information to predict the completion time of running instances. There are many scenarios where it is useful to have reliable time predictions. For exam...

Time Series Prediction Based on Event Driven Business Process Management

Process Mining Based on Regions of Languages

In this paper we give an overview, how to apply region based methods for the synthesis of Petri nets from languages to process mining. The research domain of process mining aims at constructing a process model from an event log, such that the process model can reproduce the log, and does not allow for much more behaviour than shown in the log. We here consider Petri nets to represent process mo...

Decision Support Based on Process Mining

Process mining techniques allow for the analysis of business processes based on event logs. For example, the audit trails of a workflow management system, the transaction logs of an enterprise resource planning system, and the electronic patient records in a hospital can be used to discover models describing processes, organizations, and products. Moreover, such event logs can also be used to c...

Continual Process Improvement Based on ITIL and Process Mining

Reference models such as ITIL and COBIT (Control Objectives for Information and related Technology) represent proven best practices and provide key indicators for the design and control of ITSM processes. The idea behind the development of ITIL is the recognition that organizations are becoming increasingly dependent on IT in order to satisfy their corporate aims and to meet their business need...