In this paper, we present a merging algorithm that results in a comprehensive merged log that can handle all kinds of relationships between the procedures.
In this paper, we present a merging algorithm that results in a comprehensive merged log that can handle all kinds of relationships between the procedures.
Semantic Scholar extracted view of "Merging event logs: Combining granularity levels for process flow analysis" by Lihi Raichelson et al.
In this paper, we present a merging algorithm that results in a comprehensive merged log that can handle all kinds of relationships between the procedures.
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Merging event logs: Combining granularity levels for process flow analysis · Lihi RaichelsonP. SofferEric Verbeek. Business, Computer Science. Inf. Syst. 2017.
Research Topic: Merging event logs: Combining granularity levels for process flow analysis. Supervisor: Prof. Pnina Soffer. Process mining techniques enable ...
Merging event logs: Combining granularity levels for process flow analysis. Article. Aug 2017 ; Normalizing object-centric process logs by applying database ...
Oct 1, 2024 · This paper proposes a database format designed for an intermediate data storage hub, which segregates process mining applications from their data sources.
Process Mining allows organizations to obtain actual business process models from event logs (discovery), to compare the event log or the resulting process ...
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