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heuristicsmineR  

Discovery of Process Models with the Heuristics Miner
View on CRAN: Click here


Download and install heuristicsmineR package within the R console
Install from CRAN:
install.packages("heuristicsmineR")

Install from Github:
library("remotes")
install_github("cran/heuristicsmineR")

Install by package version:
library("remotes")
install_version("heuristicsmineR", "0.3.0")



Attach the package and use:
library("heuristicsmineR")
Maintained by
Felix Mannhardt
[Scholar Profile | Author Map]
First Published: 2019-05-02
Latest Update: 2023-04-04
Description:
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.
How to cite:
Felix Mannhardt (2019). heuristicsmineR: Discovery of Process Models with the Heuristics Miner. R package version 0.3.0, https://cran.r-project.org/web/packages/heuristicsmineR. Accessed 11 Apr. 2025.
Previous versions and publish date:
0.2.0 (2019-05-02 10:20), 0.2.1 (2019-05-14 23:00), 0.2.2 (2020-02-26 13:00), 0.2.3 (2020-03-19 18:10), 0.2.4 (2020-03-29 21:50), 0.2.5 (2021-10-11 20:50), 0.2.6 (2022-07-14 17:40), 0.2.7 (2022-07-21 17:10)
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Complete documentation for heuristicsmineR
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