TY - GEN
T1 - Inter-case Properties and Process Variant Considerations in Time Prediction
T2 - 22nd International Conference on Business Process Modeling, Development and Support, BPMDS 2021 and 26th International Conference on Exploring Modeling Methods for Systems Analysis and Development, EMMSAD 2021 Held at CAiSE 2021
AU - Grinvald, Avihai
AU - Soffer, Pnina
AU - Mokryn, Osnat
N1 - Publisher Copyright: © 2021, Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - Predictive monitoring in business processes has gained attention in recent years. It uses a predictive model, learned from event logs, to predict the variables of interest for a running process instance (case). An example of such a variable considered here is the remaining time to complete the running case. Prediction usually relies on the properties of individual cases. Recently, the effects of the case’s environment, particularly cases that are executed in parallel to it, have been incorporated into prediction as inter-case properties. Furthermore, it has been recognized that, when different variants of the process exist, variant information should be considered by the predictive model. However, different prediction approaches use inter-case properties and variant information differently, and there is still no clear and agreed-upon manner in which these are considered for prediction. This paper proposes a conceptual framework that suggests categories of inter-case properties related to cases within a time window. Moreover, the framework considers the possible variant-awareness of these properties and suggests how variant information should be addressed in a predictive model. Reported experimentation supports our proposals.
AB - Predictive monitoring in business processes has gained attention in recent years. It uses a predictive model, learned from event logs, to predict the variables of interest for a running process instance (case). An example of such a variable considered here is the remaining time to complete the running case. Prediction usually relies on the properties of individual cases. Recently, the effects of the case’s environment, particularly cases that are executed in parallel to it, have been incorporated into prediction as inter-case properties. Furthermore, it has been recognized that, when different variants of the process exist, variant information should be considered by the predictive model. However, different prediction approaches use inter-case properties and variant information differently, and there is still no clear and agreed-upon manner in which these are considered for prediction. This paper proposes a conceptual framework that suggests categories of inter-case properties related to cases within a time window. Moreover, the framework considers the possible variant-awareness of these properties and suggests how variant information should be addressed in a predictive model. Reported experimentation supports our proposals.
KW - Conceptual model
KW - Inter-case properties
KW - Process variant
KW - Remaining time prediction
UR - http://www.scopus.com/inward/record.url?scp=85111825315&partnerID=8YFLogxK
U2 - https://doi.org/10.1007/978-3-030-79186-5_7
DO - https://doi.org/10.1007/978-3-030-79186-5_7
M3 - Conference contribution
SN - 9783030791858
T3 - Lecture Notes in Business Information Processing
SP - 96
EP - 111
BT - Enterprise, Business-Process and Information Systems Modeling - 22nd International Conference, BPMDS 2021, and 26th International Conference, EMMSAD 2021, Held at CAiSE 2021, Proceedings
A2 - Augusto, Adriano
A2 - Gill, Asif
A2 - Nurcan, Selmin
A2 - Reinhartz-Berger, Iris
A2 - Schmidt, Rainer
A2 - Zdravkovic, Jelena
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 28 June 2021 through 29 June 2021
ER -