![]() Because process models are based on quantitative data, they offer genuinely objective views of workflows as they exist in practice, including key data, metrics or events that may have otherwise gone unnoticed. ![]() Rather, they are produced by data-mining algorithms that use the data contained within event logs to construct models of the workflows as they exist.
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