Comparing decision mining approaches with regard to the meaningfulness of their results

09/15/2021
by   Beate Scheibel, et al.
11

Decisions and the underlying rules are indispensable for driving process execution during runtime, i.e., for routing process instances at alternative branches based on the values of process data. Decision rules can comprise unary data conditions, e.g., age > 40, binary data conditions where the relation between two or more variables is relevant, e.g. temperature1 < temperature2, and more complex conditions that refer to, for example, parts of a medical image. Decision discovery aims at automatically deriving decision rules from process event logs. Existing approaches focus on the discovery of unary, or in some instances binary data conditions. The discovered decision rules are usually evaluated using accuracy, but not with regards to their semantics and meaningfulness, although this is crucial for validation and the subsequent implementation/adaptation of the decision rules. Hence, this paper compares three decision mining approaches, i.e., two existing ones and one newly described approach, with respect to the meaningfulness of their results. For comparison, we use one synthetic data set for a realistic manufacturing case and the two real-world BPIC 2017/2020 logs. The discovered rules are discussed with regards to their semantics and meaningfulness.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
03/07/2023

An End-to-End Approach for Online Decision Mining and Decision Drift Analysis in Process-Aware Information Systems: Extended Version

Decision mining enables the discovery of decision rules from event logs ...
research
01/04/2023

Comparing Ordering Strategies For Process Discovery Using Synthesis Rules

Process discovery aims to learn process models from observed behaviors, ...
research
02/17/2022

A Deep Learning Approach for Repairing Missing Activity Labels in Event Logs for Process Mining

Process mining is a relatively new subject that builds a bridge between ...
research
11/24/2021

Exploring Business Process Deviance with Sequential and Declarative Patterns

Business process deviance refers to the phenomenon whereby a subset of t...
research
05/09/2023

Measuring Rule-based LTLf Process Specifications: A Probabilistic Data-driven Approach

Declarative process specifications define the behavior of processes by m...
research
06/20/2023

A Collection of Simulated Event Logs for Fairness Assessment in Process Mining

The analysis of fairness in process mining is a significant aspect of da...
research
08/29/2022

Detecting Surprising Situations in Event Data

Process mining is a set of techniques that are used by organizations to ...

Please sign up or login with your details

Forgot password? Click here to reset