Abstract. Software development processes are often not explicitly modelled and sometimes even chaotic. In order to keep track of the involved documents and files, engineers use So...
Business process analysis ranges from model verification at design-time to the monitoring of processes at run-time. Much progress has been achieved in process verification. Today...
Today there are many process mining techniques that allow for the automatic construction of process models based on event logs. Unlike synthesis techniques (e.g., based on regions...
Nowadays, some process information is represented by a process model. To understand process executed in many activities, process mining technologies are now extensively studied to...
It is vital to use accurate models for the analysis, design, and/or control of business processes. Unfortunately, there are often important discrepancies between reality and models...
The goal of process mining is to discover process models from event logs. However, for processes that are not well structured and have a lot of diverse behavior, existing process m...
Process Mining is a technology for extracting non-trivial and useful information from execution logs. For example, there are many process mining techniques to automatically discove...
Process mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms ...
R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa...
ions in Process Mining: A Taxonomy of Patterns R.P. Jagadeesh Chandra Bose1,2 and Wil M.P. van der Aalst1 1 Department of Mathematics and Computer Science, University of Technology...
R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa...
Process Mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms...
R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa...