Optimization framework for DFG-based automated process discovery approaches

An Optimization Framework for Process Discovery Algorithms

Today there are many process mining techniques that, based on an event log, allow for the automatic induction of a process model. The process mining algorithms that are able to deal with incomplete event logs, exceptions, and noise typically have many parameters to tune the algorithm. Therefore, the user needs to select the right parameter setting using a trail-and-error approach. So far, there...

Automated Algorithm Configuration for ILP-based Process Discovery

A framework for simulation-based optimization of business process models

The Assignment Problem is a classical problem in the field of combinatorial optimization, having a wide range of applications in a variety of contexts. In general terms, the Assignment Problem consists of determining the best assignment of tasks to agents according to a predefined objective function. Different variants of the Assignment Problem have been extensively investigated in the literatu...

Evaluation Framework for Business Process Evaluation Approaches

Business Process Management (BPM) lifecycle consists of goals specification, through the other phases such as design, implementation, execution, enactment, monitoring and evaluation of BP During process enactment information collected about execution plans that are stored in the form of log files and database tables, with information systems (IS) and use .In the past decade it has emerged a new...

Deep Business Optimization: A Platform for Automated Process Optimization

The efficient and effective design, execution and adaption of its core processes is vital for the success of most businesses and a major source of competitive advantage. Despite this critical importance, process optimization today largely depends on manual analytics and the ability of business analysts to spot the "right" designs and areas of improvement. This is because current techniques typi...