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A business process (BP) refers to a set of activities carried out by humans to achieve one or more business goals. BPs are ubiquitous and occur in several sectors: marketing, healthcare, financial management and of course business. BPs generate a significant amount of data known as big data. In recent years, the management of business process models and data is very challenging. On one hand, business process must be powerful in terms of modeling. On another hand, big data analytics support to find suitable knowledge to enact business process models. In this paper, we will introduce an overview of our big data process-based approach that places big data and process in the same framework.
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Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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