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Found 8 papers, 2 papers with code
Performance-Preserving Event Log Sampling for Predictive Monitoring
Predictive process monitoring is a subfield of process mining that aims to estimate case or event features for running process instances.
Event Log Sampling for Predictive Monitoring
Predictive process monitoring is a subfield of process mining that aims to estimate case or event features for running process instances.
Freezing Sub-Models During Incremental Process Discovery: Extended Version
Previously, an incremental discovery approach has been introduced where a model, considered to be under construction, gets incrementally extended by user-selected process behavior.
A Framework for Explainable Concept Drift Detection in Process Mining
We propose a framework that adds an explainability level onto concept drift detection in process mining and provides insights into the cause-effect relationships behind significant changes.
Online Process Monitoring Using Incremental State-Space Expansion: An Exact Algorithm
The execution of (business) processes generates valuable traces of event data in the information systems employed within companies.
Databases
Conformance Checking Approximation using Subset Selection and Edit Distance
This paper proposes new approximation techniques to compute approximated conformance checking values close to exact solution values in a faster time.
An Interdisciplinary Comparison of Sequence Modeling Methods for Next-Element Prediction
Data of sequential nature arise in many application domains in forms of, e. g. textual data, DNA sequences, and software execution traces.
Event Stream-Based Process Discovery using Abstract Representations
The aim of process discovery, originating from the area of process mining, is to discover a process model based on business process execution data.
