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Mostrando ítems 1-10 de 10
Artículo
Hybridizing humans and robots: An RPA horizon envisaged from the trenches
(Elsevier, 2022)
After the initial hype on RPA, companies have more realistic expectations of this technology. Its current mature vision relegates the end-to-end robotic automation to a less suitable place and considers the human-robot ...
Artículo
Discovering configuration workflows from existing logs using process mining
(Springer, 2021)
Variability models are used to build configurators, for guiding users through the configuration process to reach the desired setting that fulfils user requirements. The same variability model can be used to design different ...
Artículo
gPROFIT: A Tool to Assist the Automatic Extraction of Business Knowledge From Legacy Information Systems
(IEEE Computer Society, 2021)
Business digitization is a crucial strategy for business growth in the 21st century. Its bene ts include improving business process automation, customer satisfaction, productivity, decision-making, turnover, and adaptation ...
Artículo
Run-time prediction of business process indicators using evolutionary decision rules
(Elsevier, 2017)
Predictive monitoring of business processes is a challenging topic of process mining which is concerned with the prediction of process indicators of running process instances. The main value of predictive monitoring is to ...
Artículo
Conformance checking and diagnosis for declarative business process models in data-aware scenarios
(Elsevier, 2014)
A business process (BP) consists of a set of activities which are performed in coordination in an organizational and technical environment and which jointly realize a business goal. In such context, BP management (BPM) ...
Artículo
Context-Aware Process Performance Indicator Prediction
(IEEE Computer Society, 2020)
It is well-known that context impacts running instances of a process. Thus, defining and using contextual information may help to improve the predictive monitoring of business processes, which is one of the main challenges ...
Artículo
Discovering business process simulation models in the presence of multitasking and availability constraints
(Elsevier, 2021)
Business process simulation is a versatile technique for quantitative analysis of business processes. A well-known limitation of process simulation is that the accuracy of the simulation results is limited by the ...
Artículo
Measuring data‑centre workfows complexity through process mining: the Google cluster case
(Springer, 2020)
Data centres have become the backbone of large Cloud services and applica-tions, providing virtually unlimited elastic and scalable computational and storage resources. The search for the efficiency and optimisation ...
Artículo
The RALph miner for automated discovery and verification of resource-aware processmodels
(Springer, 2020)
Automated process discovery is a technique that extractsmodels of executed processes from event logs. Logs typically include information about the activities performed, their timestamps and the resources that were involved ...
Artículo
Predictive Monitoring of Business Processes: A Survey
(IEEE Computer Society, 2018)
Nowadays, process mining is becoming a growing area of interest in business process management (BPM). Process mining consists in the extraction of information from the event logs of a business process. From this information, ...