Partial-order-based process mining: a survey and outlook
The field of process mining focuses on distilling knowledge of the (historical) execution of a
process based on the operational event data generated and stored during its execution …
process based on the operational event data generated and stored during its execution …
[HTML][HTML] Resilience towarded digital twins to improve the adaptability of transportation systems
H Feng, H Lv, Z Lv - Transportation Research Part A: Policy and Practice, 2023 - Elsevier
This work aims to investigate the role of the resilience of Digital Twins on the applicability of
the transportation system. A literature study is conducted to review the current status of …
the transportation system. A literature study is conducted to review the current status of …
Conformance checking over uncertain event data
The strong impulse to digitize processes and operations in companies and enterprises have
resulted in the creation and automatic recording of an increasingly large amount of process …
resulted in the creation and automatic recording of an increasingly large amount of process …
Sktr: Trace recovery from stochastically known logs
Developments in machine learning together with the increasing usage of sensor data
challenge the reliance on deterministic logs, requiring new process mining solutions for …
challenge the reliance on deterministic logs, requiring new process mining solutions for …
Conformance checking over stochastically known logs
With the growing number of devices, sensors and digital systems, data logs may become
uncertain due to, eg, sensor reading inaccuracies or incorrect interpretation of readings by …
uncertain due to, eg, sensor reading inaccuracies or incorrect interpretation of readings by …
Probabilistic and non-deterministic event data in process mining: embedding uncertainty in process analysis techniques
M Pegoraro - arXiv preprint arXiv:2205.04827, 2022 - arxiv.org
Process mining is a subfield of process science that analyzes event data collected in
databases called event logs. Recently, novel types of event data have become of interest …
databases called event logs. Recently, novel types of event data have become of interest …
Uncertain process data with probabilistic knowledge: Problem characterization and challenges
Motivated by the abundance of uncertain event data from multiple sources including
physical devices and sensors, this paper presents the task of relating a stochastic process …
physical devices and sensors, this paper presents the task of relating a stochastic process …
Density-optimized intersection-free mapping and matrix multiplication for join-project operations
Z Huang, S Chen - Proceedings of the VLDB Endowment, 2022 - dl.acm.org
A Join-Project operation is a join operation followed by a duplicate eliminating projection
operation. It is used in a large variety of applications, including entity matching, set analytics …
operation. It is used in a large variety of applications, including entity matching, set analytics …
PROVED: A tool for graph representation and analysis of uncertain event data
The discipline of process mining aims to study processes in a data-driven manner by
analyzing historical process executions, often employing Petri nets. Event data, extracted …
analyzing historical process executions, often employing Petri nets. Event data, extracted …
Process mining on uncertain event data
M Pegoraro - arXiv preprint arXiv:2204.04148, 2022 - arxiv.org
With the widespread adoption of process mining in organizations, the field of process
science is seeing an increase in the demand for ad-hoc analysis techniques of non-standard …
science is seeing an increase in the demand for ad-hoc analysis techniques of non-standard …