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A situation awareness computational intelligent model for metabolic syndrome management
In clinical practice, patient care flows are generally subject to recommended and
standardized therapeutic interventions. Especially in a home care setting, situation-aware …
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
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 …
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
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 …
processes. Over the recent years, various process mining solutions have been developed …
Process mining analytics for Industry 4.0 with graph signal processing
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 …
from a large number of logs coming from potentially heterogeneous systems. With the recent …
Practical aspect of privacy-preserving data publishing in process mining
Process mining techniques such as process discovery and conformance checking provide
insights into actual processes by analyzing event data that are widely available in …
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
Proper decision-making is one of the most important capabilities of an organization.
Adequately managing these decisions is therefore of high importance. Business Rules …
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 …
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 …
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 …
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
Process mining provides techniques to improve the performance and compliance of
operational processes. Although sometimes the term" workflow mining" is used, the …
operational processes. Although sometimes the term" workflow mining" is used, the …