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This software is being developed at the University of Aizu, Aizu-Wakamatsu, Fukushima, Japan

Project description

PyPI AppVeyor PyPI - Python Version GitHub all releases GitHub license PyPI - Implementation PyPI - Wheel PyPI - Status GitHub issues GitHub forks GitHub stars

Introduction

PAMI stands for PAttern MIning. It constitutes several pattern mining algorithms to discover interesting patterns in transactional/temporal/spatiotemporal databases. This software is provided under GNU GENERAL PUBLIC LICENSE Version 3, 29 June 2007.

  1. The user manual for PAMI library is available at https://udayrage.github.io/PAMI/index.html
  2. Datasets to implement PAMI algorithms are available at https://www.u-aizu.ac.jp/~udayrage/software.html
  3. Please report issues in the software at https://github.com/udayRage/PAMI/issues

Contact us by Discord https://discord.gg/9WgKkrSJ

Installation

   pip install pami

Upgrade

   pip install --upgrade pami

Details

Total available algorithms: 70

Click on "Basic" link to viewe the basic tutorial on using the algorithm. Similarly, click on "Adv" link to view the advanced tutorial on using a particular algorithm.

  1. Frequent pattern mining: Sample

    Basic Closed Maximal Top-k CUDA pyspark
    Apriori Basic-Adv Closed Basic-Adv maxFP-growth Basic topK Basic-Adv cudaAprioriGCT parallelApriori Basic-Adv
    FP-growth Basic-Adv cudaAprioriTID parallelFPGrowth Basic-Adv
    ECLAT Basic-Adv cudaEclatGCT parallelECLAT Basic-Adv
    ECLAT-bitSet Basic-Adv
    ECLAT-diffset
  2. Frequent pattern mining using other measures: Sample

    Basic
    RSFP
  3. Frequent pattern with multiple minimum support: Sample

    Basic
    CFPGrowth
    CFPGrowth++
  4. Correlated pattern mining: Sample

    Basic
    CP-growth Basic -Adv
    CP-growth++ Basic
  5. Frequent spatial pattern mining: Sample

    Basic
    spatialECLAT Basic-Adv
    FSP-growth Basic-Adv
  6. Fuzzy correlated pattern mining: Sample

    Basic
    FCP-growth Basic-Adv
  7. Fuzzy Frequent pattern mining: Sample

    Basic
    FFI-Miner Basic-Adv
  8. Fuzzy frequent spatial pattern mining: Sample

    Basic
    FFSP-Miner Basic-Adv
  9. Fuzzy periodic frequent pattern mining: Sample

    Basic
    FPFP-Miner Basic-Adv
  10. Geo referenced Fuzzy periodic frequent pattern mining: Sample

    Basic
    FPFP-Miner Basic-Adv
  11. High utility frequent pattern mining: Sample

    Basic
    HUFIM
  12. High utility frequent spatial pattern mining: Sample

    Basic
    SHUFIM
  13. High utility pattern mining: Sample

    Basic
    EFIM
    HMiner
    UPGrowth
  14. High utility spatial pattern mining: Sample

    Basic topk
    HDSHIM TKSHUIM
    SHUIM
  15. Local periodic pattern mining: Sample

    Basic
    LPPGrowth
    LPPMBreadth
    LPPMDepth
  16. Partial periodic frequent pattern: Sample

    Basic
    GPF-growth Basic-Adv
    PPF-DFS Basic-Adv
  17. Periodic frequent pattern mining: Sample

    Basic Closed Maximal
    PFP-growth Basic-Adv CPFP Basic-Adv maxPF-growth Basic
    PFP-growth++ Basic-Adv
    PS-growth Basic-Adv
    PFP-ECLAT Basic-Adv
  18. Geo referenced Periodic frequent pattern mining:Sample

    Basic
    GPFPMiner
  19. Partial periodic pattern mining: Sample

    Basic Closed Maximal topk
    3P-growth Basic-Adv 3P-close Basic-Adv max3P-growth Basic Topk_3Pgrowth
    3PECLAT Basic-Adv
  20. Partial periodic spatial pattern mining:Sample

    Basic
    STECLAT
  21. Periodic correlated pattern mining: Sample

    Basic
    EPCP-growth Basic-Adv
  22. Uncertain frequent pattern mining: Sample

    Basic top-k
    PUF TUFP
    TubeP
    TubeS
    UVEclat
  23. Uncertain periodic frequent pattern mining: Sample

    Basic
    UPFP-growth
  24. Recurring pattern mining: Sample

    Basic
    RPgrowth
  25. Relative High utility pattern mining: Sample

    Basic
    RHUIM
  26. Stable periodic pattern mining: Sample

    Basic
    SPP-growth
    SP-ECLAT
  27. Weighted frequent pattern mining: Sample

    Basic
    WFIM
  28. Uncertain Weighted frequent pattern mining: Sample

    Basic
    WUFIM
  29. Weighted frequent regular pattern mining:

    Basic
    WFRIMiner
  30. Weighted frequent neighbourhood pattern mining:

    Basic
    SSWFPGrowth

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