heuristicsmineR: Discovery of Process Models with the Heuristics Miner

Provides the heuristics miner algorithm for process discovery as proposed by Weijters et al. (2011) <doi:10.1109/CIDM.2011.5949453>. 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.

Version: 0.2.1
Depends: R (≥ 2.10)
Imports: DiagrammeR (≥ 1.0.0), magrittr, dplyr, processmapR (≥ 0.3.1), petrinetR, bupaR, purrr, tidyr, rlang, scales, Rcpp, ggplot2, ggthemes, data.table
LinkingTo: Rcpp, BH
Suggests: eventdataR, edeaR, svgPanZoom, DiagrammeRsvg
Published: 2019-05-14
Author: Felix Mannhardt [aut, cre]
Maintainer: Felix Mannhardt <felix.mannhardt at sintef.no>
BugReports: https://github.com/fmannhardt/heuristicsmineR/issues
License: MIT + file LICENSE
URL: https://github.com/fmannhardt/heuristicsmineR
NeedsCompilation: yes
SystemRequirements: C++11
Materials: README NEWS
CRAN checks: heuristicsmineR results

Downloads:

Reference manual: heuristicsmineR.pdf
Package source: heuristicsmineR_0.2.1.tar.gz
Windows binaries: r-devel: heuristicsmineR_0.2.1.zip, r-release: heuristicsmineR_0.2.1.zip, r-oldrel: heuristicsmineR_0.2.1.zip
OS X binaries: r-release: heuristicsmineR_0.2.1.tgz, r-oldrel: heuristicsmineR_0.2.1.tgz
Old sources: heuristicsmineR archive

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