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Introduction

PAttern MIning (PAMI) is a Python library containing several algorithms to discover user interest-based patterns in transactional/temporal/geo-referential/sequence databases across multiple computing platforms.

1. User manual https://udayrage.github.io/PAMI/manuals/index.html

2. Coders manual https://udayrage.github.io/PAMI/codersManual/index.html

3. Code documentation PAMI documentation

4. Datasets https://u-aizu.ac.jp/~udayrage/datasets.html

5. Discussions on PAMI usage https://github.com/UdayLab/PAMI/discussions

6. Report issues https://github.com/UdayLab/PAMI/issues

Recent versions

• Version 2023.06.20: Fuzzy Partial Periodic, Periodic Patterns in High Utility, Code Documentation, help() function Update
• 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

1. Mining Databases

Transactional databases

1. Frequent pattern mining: Sample

2. Relative frequent pattern mining: Sample

3. Frequent pattern with multiple minimum support: Sample

4. Correlated pattern mining: Sample

Temporal databases

1. Periodic-frequent pattern mining: Sample

2. Local periodic pattern mining: Sample

3. Partial periodic-frequent pattern mining: Sample

4. Partial periodic pattern mining: Sample

5. Periodic correlated pattern mining: Sample

6. Stable periodic pattern mining: Sample

Geo-referenced (or spatiotemporal) databases

1. Frequent spatial pattern mining: Sample

2. Geo referenced Periodic frequent pattern mining: Sample

3. Partial periodic spatial pattern mining:Sample

4. Recurring pattern mining: Sample

Utility databases

1. High utility pattern mining: Sample

2. High utility frequent pattern mining: Sample

3. High utility frequent spatial pattern mining: Sample

4. High utility spatial pattern mining: Sample

5. Relative High utility pattern mining: Sample

6. Weighted frequent pattern mining: Sample

7. Weighted frequent regular pattern mining: Sample

8. Weighted frequent neighbourhood pattern mining: Sample

Fuzzy databases

1. Fuzzy Frequent pattern mining: Sample

2. Fuzzy correlated pattern mining: Sample

3. Fuzzy frequent spatial pattern mining: Sample

4. Fuzzy periodic frequent pattern mining: Sample

5. Geo referenced Fuzzy periodic frequent pattern mining: Sample

Uncertain databases

1. Uncertain frequent pattern mining: Sample

2. Uncertain periodic frequent pattern mining: Sample

3. Uncertain Weighted frequent pattern mining: Sample

Sequence databases

1. Sequence frequent pattern mining: Sample

Timeseries databases

2. Mining Streams

coming soon

3. Mining Graphs

coming soon