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Trying to build R package for Business Process Mining using some alogrithms used in ProM Development
As a part of my project I am trying to build a R package useful for Business Process Analytics. So for that
I want to use some of the core algorithms of the plugins of ProM. There is a package in R called rJava by which I can
create Java objects in R and call any method associated with that object from R . So by this I can run java code in
backend and compute the results.
I have been observing and trying to understand the source codes used in the ProM develpment on the site https://svn.win.tue.nl/repos/prom/Packages/
for past 2 weeks. So from this I have learned that all the algorithms
of plugins are integrated with the GUI and GUI is mainly controlled by packages ProM-Contexts and ProM-Framework.
So I wanted to know that can I extract the core algorithms of the plugins and provide the inputs as the argument to
the methods manually rather than using GUI? For example I want to convert a CSV into a XES file can I use the plugin
"Convert CSV to XES" by providing the input file name manually from my Code and get a XLog object and than export it
as .xes file?
I also need some help in understanding the structure of the source codes used in different packages. Like how can I know
which part of code is meant for GUI purpose so that I can change that and can give inputs manually.
Your help will mean a lot to me. Thank you in advance.
Also is there someone who is working for similar project for opensource and wants to collaborate? Then it will make work
easier for both of us.