A situation awareness computational intelligent model for metabolic syndrome management

D Lofù, A Pazienza, C Ardito, T Di Noia… - … IEEE Conference on …, 2022 - ieeexplore.ieee.org
In clinical practice, patient care flows are generally subject to recommended and
standardized therapeutic interventions. Especially in a home care setting, situation-aware …

Clustering analysis and frequent pattern mining for process profile analysis: An exploratory study for object-centric event logs

ER Faria Junior, TR Neubauer, M Fantinato… - … Conference on Process …, 2022 - Springer
Object-centric event log is a format for properly organizing information from different views of
a business process into an event log. The novelty in such a format is the association of …

[PDF][PDF] The process mining toolkit (pmtk): Enabling advanced process mining in an integrated fashion

A Berti, CY Li, D Schuster, SJ van Zelst - Proceedings of the ICPM demo …, 2021 - ceur-ws.org
Heaps of event data are being generated and stored during the execution of (business)
processes. Over the recent years, various process mining solutions have been developed …

Process mining analytics for Industry 4.0 with graph signal processing

G Drakopoulos, E Kafeza, P Mylonas, S Sioutas - 2021 - zuscholars.zu.ac.ae
Process mining is the art and science of (semi) automatically generating business processes
from a large number of logs coming from potentially heterogeneous systems. With the recent …

Practical aspect of privacy-preserving data publishing in process mining

M Rafiei, WMP van der Aalst - arxiv preprint arxiv:2009.11542, 2020 - arxiv.org
Process mining techniques such as process discovery and conformance checking provide
insights into actual processes by analyzing event data that are widely available in …

[PDF][PDF] Business Rules Management and Decision Mining-Filling in the Gaps

S Leewis, K Smit, M Berkhout - 2022 - scholarspace.manoa.hawaii.edu
Proper decision-making is one of the most important capabilities of an organization.
Adequately managing these decisions is therefore of high importance. Business Rules …

Towards Fairness-Aware Predictive Process Monitoring: Evaluating Bias Mitigation Techniques

MC da Silva, M Fantinato, SM Peres - International Conference on …, 2024 - Springer
Predictive process monitoring (PPM) faces fairness issues due to biases in historical data,
causing discriminatory practices. Balancing fairness and performance in PPM is crucial but …

Bringing interactive process mining to health professionals: interactive data rodeos

C Fernandez-Llatas - Interactive process mining in healthcare, 2021 - Springer
Abstract Putting in the Interactive Process Mining paradigm into practice in the medical
domain requires the use of tools, algorithms, and methodologies that not only leverage the …

Increasing scalability of process mining using event dataframes: How data structure matters

A Berti - arxiv preprint arxiv:1907.12817, 2019 - arxiv.org
Process Mining is a branch of Data Science that aims to extract process-related information
from event data contained in information systems, that is steadily increasing in amount …

An open-source integration of process mining features into the camunda workflow engine: Data extraction and challenges

A Berti, W van der Aalst, D Zang, M Lang - arxiv preprint arxiv:2009.06209, 2020 - arxiv.org
Process mining provides techniques to improve the performance and compliance of
operational processes. Although sometimes the term" workflow mining" is used, the …