Project description
Introduction
PAttern MIning (PAMI) is a Python library containing several algorithms to discover user interest-based patterns in transactional/temporal/geo-referencial/sequence databases across multiple computing platforms.
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User manual https://udayrage.github.io/PAMI/manuals/index.html
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Coders manual https://udayrage.github.io/PAMI/codersManual/index.html
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Code documentation PAMI documentation
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Datasets https://u-aizu.ac.jp/~udayrage/datasets.html
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Discussions on PAMI usage https://github.com/udayRage/PAMI/discussions
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Report issues https://github.com/udayRage/PAMI/issues
Recent versions
- Version 2023.03.01: prefixSpan and SPADE
Total number of algorithms: 83
Maintenance
Installation
pip install pami
Updation
pip install --upgrade pami
Uninstallation
pip uninstall pami
Tutorials
- Click on "Basic" link to view the basic tutorial on using the algorithm.
- Click on "Adv" link to view the advanced tutorial on using a particular algorithm.
- Frequent pattern mining: Sample
- Relative Frequent Patterns: Sample
- Frequent pattern with multiple minimum support: Sample
Basic |
CFPGrowth |
CFPGrowth++ |
- Correlated pattern mining: Sample
- Frequent spatial pattern mining: Sample
- Fuzzy Frequent pattern mining: Sample
- Fuzzy correlated pattern mining: Sample
- Fuzzy frequent spatial pattern mining: Sample
- Fuzzy periodic frequent pattern mining: Sample
- Geo referenced Fuzzy periodic frequent pattern mining: Sample
- High utility pattern mining: Sample
- High utility frequent pattern mining: Sample
- High utility frequent spatial pattern mining: Sample
- High utility spatial pattern mining: Sample
- Periodic frequent pattern mining: Sample
- Geo referenced Periodic frequent pattern mining: Sample
- Local periodic pattern mining: Sample
- Partial periodic frequent pattern mining: Sample
- Partial periodic pattern mining: Sample
- Partial periodic spatial pattern mining:Sample
- Periodic correlated pattern mining: Sample
- Stable periodic pattern mining: Sample
- Uncertain frequent pattern mining: Sample
- Uncertain periodic frequent pattern mining: Sample
- Recurring pattern mining: Sample
- Relative High utility pattern mining: Sample
- Weighted frequent pattern mining: Sample
- Uncertain Weighted frequent pattern mining: Sample
- Weighted frequent regular pattern mining: Sample
- Weighted frequent neighbourhood pattern mining: Sample
- Sequence frequent pattern mining: Sample
Download files
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Source Distribution
Built Distribution