Temporal behavior is a primary aspect of business process executions. Herein, we propose a temporal outlier detection and analysis method for business processes. Particularly, the method performs correlation analysis between the execution times of traces and activities to determine the type of activities that significantly influences the anomalous temporal behavior of a trace. To this end, we describe the modeling of temporal behaviors considering different control-flow patterns of business processes. Further, an execution time matrix with execution times of activities in all traces is constructed by using the event logs. Based on this matrix, we perform temporal outlier detection and correlation-based analysis.
Chun Gun PARK
Kyonggi University
Hyun AHN
Kyonggi University
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Chun Gun PARK, Hyun AHN, "Temporal Outlier Detection and Correlation Analysis of Business Process Executions" in IEICE TRANSACTIONS on Information,
vol. E102-D, no. 7, pp. 1412-1416, July 2019, doi: 10.1587/transinf.2018EDL8246.
Abstract: Temporal behavior is a primary aspect of business process executions. Herein, we propose a temporal outlier detection and analysis method for business processes. Particularly, the method performs correlation analysis between the execution times of traces and activities to determine the type of activities that significantly influences the anomalous temporal behavior of a trace. To this end, we describe the modeling of temporal behaviors considering different control-flow patterns of business processes. Further, an execution time matrix with execution times of activities in all traces is constructed by using the event logs. Based on this matrix, we perform temporal outlier detection and correlation-based analysis.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2018EDL8246/_p
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@ARTICLE{e102-d_7_1412,
author={Chun Gun PARK, Hyun AHN, },
journal={IEICE TRANSACTIONS on Information},
title={Temporal Outlier Detection and Correlation Analysis of Business Process Executions},
year={2019},
volume={E102-D},
number={7},
pages={1412-1416},
abstract={Temporal behavior is a primary aspect of business process executions. Herein, we propose a temporal outlier detection and analysis method for business processes. Particularly, the method performs correlation analysis between the execution times of traces and activities to determine the type of activities that significantly influences the anomalous temporal behavior of a trace. To this end, we describe the modeling of temporal behaviors considering different control-flow patterns of business processes. Further, an execution time matrix with execution times of activities in all traces is constructed by using the event logs. Based on this matrix, we perform temporal outlier detection and correlation-based analysis.},
keywords={},
doi={10.1587/transinf.2018EDL8246},
ISSN={1745-1361},
month={July},}
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TY - JOUR
TI - Temporal Outlier Detection and Correlation Analysis of Business Process Executions
T2 - IEICE TRANSACTIONS on Information
SP - 1412
EP - 1416
AU - Chun Gun PARK
AU - Hyun AHN
PY - 2019
DO - 10.1587/transinf.2018EDL8246
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E102-D
IS - 7
JA - IEICE TRANSACTIONS on Information
Y1 - July 2019
AB - Temporal behavior is a primary aspect of business process executions. Herein, we propose a temporal outlier detection and analysis method for business processes. Particularly, the method performs correlation analysis between the execution times of traces and activities to determine the type of activities that significantly influences the anomalous temporal behavior of a trace. To this end, we describe the modeling of temporal behaviors considering different control-flow patterns of business processes. Further, an execution time matrix with execution times of activities in all traces is constructed by using the event logs. Based on this matrix, we perform temporal outlier detection and correlation-based analysis.
ER -