Process mining techniques and applications–A systematic mapping study

C dos Santos Garcia, A Meincheim, ERF Junior… - Expert Systems with …, 2019 - Elsevier
Process mining is a growing and promising study area focused on understanding processes
and to help capture the more significant findings during real execution rather than, those …

[HTML][HTML] Process mining in healthcare–An updated perspective on the state of the art

E De Roock, N Martin - Journal of biomedical informatics, 2022 - Elsevier
Process mining is the research domain focusing on the development of innovative methods
to gather insights from event logs. It has been used for various use cases within the …

Process mining applications in the healthcare domain: A comprehensive review

A Guzzo, A Rullo, E Vocaturo - Wiley Interdisciplinary Reviews …, 2022 - Wiley Online Library
Process mining (PM) is a well‐known research area that includes techniques,
methodologies, and tools for analyzing processes in a variety of application domains. In the …

Opportunities and challenges for applying process mining in healthcare: a systematic mapping study

MR Dallagassa, C dos Santos Garcia… - Journal of Ambient …, 2022 - Springer
Process mining applies robust methodologies using data mining and machine learning for
pattern recognition, using models that represent the process flow identified by the sequence …

[PDF][PDF] Process mining in healthcare systems: a critical review and its future

MS Sundari, RK Nayak - International Journal of Emerging Trends …, 2020 - researchgate.net
Nowadays, process mining is the emerging technique and is widely used across industry
domains. Process mining is evolving important role for patients as well as hospital …

Efficient tracing and detection of activity deviation in event log using ProM in health care industry

MS Sundari, RK Nayak - … conference on I-SMAC (IoT in social …, 2021 - ieeexplore.ieee.org
In the current world, data science has been an emerging technique in all interdisciplinary
domains. The statistical analysis provides the prediction over data stimulated from the …

ProcessGAN: Generating Privacy-Preserving Time-Aware Process Data with Conditional Generative Adversarial Nets

K Li, S Yang, TM Sullivan, RS Burd… - ACM Transactions on …, 2024 - dl.acm.org
Process data constructed from event logs provides valuable insights into procedural
dynamics over time. The confidential information in process data, together with the data's …

Применение алгоритмов биоинформатики для обнаружения мутирующих кибератак

ДП Зегжда, МО Калинин, ВМ Крундышев… - Информатика и …, 2021 - ia.spcras.ru
Аннотация Функционал любой системы может быть представлен в виде совокупности
команд, которые приводят к изменению состояния системы. Задача обнаружения атаки …

Mismatch-resistant intrusion detection with bioinspired suffix tree algorithm

H Cho, A Andreev, M Kalinin, D Moskvin… - Algorithms and Solutions …, 2022 - Springer
Signature-based intrusion detection is the fastest kind of the protection facility. It's work
principle is the matching of command sequences executed by the monitored system to the …

[HTML][HTML] Discovering interpretable medical process models: A case study in trauma resuscitation

K Li, I Marsic, A Sarcevic, S Yang, TM Sullivan… - Journal of biomedical …, 2023 - Elsevier
Understanding the actual work (ie,“work-as-done”) rather than theorized work (ie,“work-as-
imagined”) during complex medical processes is critical for developing approaches that …