Specification-driven predictive business process monitoring [Elektronisk resurs]

• Predictive analysis in business process monitoring aims at forecasting the future information of a running business process. The prediction is typically made based on the model extracted from historical process execution logs (event logs). In practice, different business domains might require different kinds of predictions. Hence, it is important to have a means for properly specifying the desired prediction tasks, and a mechanism to deal with these various prediction tasks. Although there have been many studies in this area, they mostly focus on a specific prediction task. This work introduces a language for specifying the desired prediction tasks, and this language allows us to express various kinds of prediction tasks. This work also presents a mechanism for automatically creating the corresponding prediction model based on the given specification. Differently from previous studies, instead of focusing on a particular prediction task, we present an approach to deal with various prediction tasks based on the given specification of the desired prediction tasks. We also provide an implementation of the approach which is used to conduct experiments using real-life event logs. © 2019, The Author(s). 

Ämnesord

Natural Sciences  (hsv)

Computer and Information Sciences  (hsv)

Software Engineering  (hsv)

Naturvetenskap  (hsv)

Data- och informationsvetenskap  (hsv)

Programvaruteknik  (hsv)

Genre

government publication  (marcgt)

Indexterm och SAB-rubrik

Automatic prediction model creation

Machine learning-based prediction

Prediction task specification language

Predictive business process monitoring

Process control

Process monitoring

Specification languages

Specifications

Automatic prediction

Business domain

Business Process

Business process monitoring

Historical process

Life events

Prediction model

Prediction tasks

Forecasting