Discovery of Process Models with the Heuristics Miner

Provides the heuristics miner algorithm for process discovery as proposed by Weijters et al. (2011) . The algorithm builds a causal net from an event log created with the 'bupaR' package. Event logs are a set of ordered sequences of events for which 'bupaR' provides the S3 class eventlog(). The discovered causal nets can be visualised as 'htmlwidgets' and it is possible to annotate them with the occurrence frequency or processing and waiting time of process activities.


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0.2.1 by Felix Mannhardt, 6 days ago

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Authors: Felix Mannhardt [aut, cre]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports DiagrammeR, magrittr, dplyr, processmapR, petrinetR, bupaR, purrr, tidyr, rlang, scales, Rcpp, ggplot2, ggthemes, data.table

Suggests eventdataR, edeaR, svgPanZoom, DiagrammeRsvg

Linking to Rcpp, BH

System requirements: C++11

See at CRAN