Zobrazeno 1 - 10
of 474
pro vyhledávání: '"Lu, XiXI"'
Predictive Process Monitoring focuses on predicting future states of ongoing process executions, such as forecasting the remaining time. Recent developments in Object-Centric Process Mining have enriched event data with objects and their explicit rel
Externí odkaz:
http://arxiv.org/abs/2404.05316
Predictive Process Monitoring aims to forecast the future progress of process instances using historical event data. As predictive process monitoring is increasingly applied in online settings to enable timely interventions, evaluating the performanc
Externí odkaz:
http://arxiv.org/abs/2310.09000
Autor:
Verhoef, Bart J., Lu, Xixi
Previous studies have used prescriptive process monitoring to find actionable policies in business processes and conducted case studies in similar domains, such as the loan application process and the traffic fine process. However, care processes ten
Externí odkaz:
http://arxiv.org/abs/2310.00981
Event logs are invaluable for conducting process mining projects, offering insights into process improvement and data-driven decision-making. However, data quality issues affect the correctness and trustworthiness of these insights, making preprocess
Externí odkaz:
http://arxiv.org/abs/2309.17100
Autor:
Vazifehdoostirani, Mozhgan, Genga, Laura, Lu, Xixi, Verhoeven, Rob, van Laarhoven, Hanneke, Dijkman, Remco
Process pattern discovery methods (PPDMs) aim at identifying patterns of interest to users. Existing PPDMs typically are unsupervised and focus on a single dimension of interest, such as discovering frequent patterns. We present an interactive multi
Externí odkaz:
http://arxiv.org/abs/2308.14475
Predictive process analytics focuses on predicting future states, such as the outcome of running process instances. These techniques often use machine learning models or deep learning models (such as LSTM) to make such predictions. However, these dee
Externí odkaz:
http://arxiv.org/abs/2303.15844
Autor:
Duong, Thi Thuy, Le, Thi Phuong Quynh, Ho, Tu Cuong, Vu, Thi Nguyet, Hoang, Thi Thu Hang, Dang, Dinh Kim, Lu, Xixi
Publikováno v:
Journal of Vietnamese Environment, 2014, Vol. 6, No. 1, pp. 27-33, ISSN: 2913-6471
This study aimed to describe the distribution and relative abundance of the phytoplankton obtained during the two seasons (rainy and dry seasons) from the Red river system. The water and phytoplankton samples were monthly collected during the year 20
Externí odkaz:
http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-176893
http://www.qucosa.de/fileadmin/data/qucosa/documents/17689/85-150-1-SM.pdf
http://www.qucosa.de/fileadmin/data/qucosa/documents/17689/85-150-1-SM.pdf
Autor:
Duong, Thi Thuy, Le, Thi Phuong Quynh, Ho, Tu Cuong, Vu, Thi Nguyet, Hoang, Thi Thu Hang, Dang, Dinh Kim, Lu, Xixi
This study aimed to describe the distribution and relative abundance of the phytoplankton obtained during the two seasons (rainy and dry seasons) from the Red river system. The water and phytoplankton samples were monthly collected during the year 20
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A28881
https://tud.qucosa.de/api/qucosa%3A28881/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A28881/attachment/ATT-0/
Publikováno v:
In Sustainable Cities and Society 1 October 2024 112
Anomaly detection in process mining focuses on identifying anomalous cases or events in process executions. The resulting diagnostics are used to provide measures to prevent fraudulent behavior, as well as to derive recommendations for improving proc
Externí odkaz:
http://arxiv.org/abs/2203.09619