Titlebook: Business Process Management; 18th International C Dirk Fahland,Chiara Ghidini,Marlon Dumas Conference proceedings 2020 Springer Nature Swit

Inkling

Trees with Anticancer Activities,d may not be optimal over time due to non-stationarity of process environments, data, and cost structures. Here, we use online reinforcement learning as an alternative solution to learn when to trigger proactive process adaptations based on the predictions and their reliability at run time. Experime

制定法律

Characterizing Machine Learning Processes: A Maturity Frameworkng model development process. We present a set of best practices from authors’ personal experience of building large scale real-world machine learning models to help organizations achieve higher levels of maturity independent of their starting point.

表臉

jet-lag

glacial

Socially-Aware Business Process Redesign to large SBPR instances, as well as a detailed analysis of the factors that influence the performance of the approach. Our work shows that it is feasible to incorporate multiple considerations into redesign decision making, while providing meaningful insights into the trade-offs involved.

NEG

Incentive Alignment of Business Processeshecking incentive alignment of process models with utility annotations for tasks, which can be used for . analysis of inter-organizational business processes. Last but not least, we show that the soundness property is a special case of incentive alignment.

Temporal-Lobe

Memorial

Online Process Monitoring Using Incremental State-Space Expansion: An Exact Algorithmact that the conformance checking problem can be reduced to a shortest path problem, by incrementally expanding the search space and reusing previously computed intermediate results. Our experiments show that our algorithm is able to outperform comparable state-of-the-art approximation algorithms.

危險(xiǎn)

TADE: Stochastic Conformance Checking Using Temporal Activity Density Estimationrences at certain timestamps are modeled, so the fitness of new cases is computed considering this stochastic model. We evaluate this on a real-world building permit application process, which shows its usage capabilities in industrial scenarios.

GLIDE