fuzzymineR: fuzzymineR - Build Process Model from Event Data

In PlaypowerLabs/fuzzymineR: Build Fuzzy Process Model from Event Data

Description

fuzzymineR package is usefull when a user want to mine process models from event data. It contains functions by which a user has to only provide a data.frame and by applying a series of functions one can mine process models.

Requirments

System should have java 8 or higher version. The fuzzy algorithm is written in java and hence it is required to install java on your system.

Details

fuzzymineR provides a way to create Adaptive Process Models in which you can configure the simplification level by setting the parameters. Hence users can get the derired level of abstraction that they did like to work with. For process discovery, fuzzy mining algorithm is considered one of the best algorithms because it can deal with less-structered event data(which is the case with real world data) very well and saves you from creating Spaghetti models.

Functions

• create_eventlog : creates eventlog object from a data.frame

• mine_fuzzy_model : applies fuzzy mining algorithm on the eventlog object and returns a list of metrics

• viz_fuzzy_model : creates process model

Author(s)

Maintainer : Tirth Shah [e-mail]

Authors :

• Nirmal Patel

• Tirth Shah

Useful Links

• Fuzzy Mining - Adaptive Process Simplification Based on Multi-Perspective Metrics

PlaypowerLabs/fuzzymineR documentation built on Jan. 1, 2022, 12:13 a.m.