Introduction
This project implements an abstraction-based approach for privacy-aware inter-organizational process mining.
Python package
The implementation has been published as a standard Python package. Use the following command to install the corresponding Python package:
pip install pp-iopm
Usage
Look at the "main_....py" files to see the usage example.
1 maintainer
Release files for pp-iopm 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pp_iopm-0.0.1.tar.gz | 15.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pp_iopm-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 32.7 kB
Release files / pp_iopm-0.0.1.tar.gz
| Download URL | pp_iopm-0.0.1.tar.gz |
|---|---|
| Size | 15.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
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twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.4.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.6.5
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Release files / pp_iopm-0.0.1-py3-none-any.whl
| Download URL | pp_iopm-0.0.1-py3-none-any.whl |
|---|---|
| Size | 17.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.4.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.6.5
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