pami 0.9.7.3.4.36

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

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

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Installation

   pip install pami

Upgrade

   pip install --upgrade pami

Details

Total available algorithms: 43

1. Frequent pattern mining:

   Basic	Closed	Maximal	Top-k	CUDA	pyspark
   Apriori	Closed	maxFP-growth	topK	cudaAprioriGCT	parallelApriori
   FP-growth				cudaAprioriTID	parallelFPGrowth
   ECLAT				cudaEclatGCT	parallelECLAT
   ECLAT-bitSet
   ECLAT-diffset

2. Frequent pattern mining using other measures:

   Basic
   RSFP

3. Correlated pattern mining:

   Basic
   CP-growth
   CP-growth++

4. Frequent spatial pattern mining:

   Basic
   spatialECLAT
   FSP-growth

5. Correlated spatial pattern mining:

   Basic
   CSP-growth

6. Fuzzy correlated pattern mining:

   Basic
   FCP-growth

7. Fuzzy Frequent pattern mining:

   Basic
   FFI-Miner

8. Fuzzy frequent spatial pattern mining:

   Basic
   FFSP-Miner

9. Fuzzy periodic frequent pattern mining:

   Basic
   FPFP-Miner

10. High utility frequent pattern mining:

    Basic
    HUFIM

11. High utility frequent spatial pattern mining:

    Basic
    SHUFIM

12. High utility pattern mining:

    Basic
    EFIM
    HMiner
    UPGrowth

13. High utility spatial pattern mining:

    Basic	topk
    HDSHIM	TKSHUIM
    SHUIM

14. Local periodic pattern mining:

    Basic
    LPPGrowth
    LPPMBreadth
    LPPMDepth

15. Partial periodic frequent pattern:

    Basic
    GPF-growth
    PPF-DFS

16. Periodic frequent pattern mining:

    Basic	Closed	Maximal
    PFP-growth	CPFP	maxPF-growth
    PFP-growth++
    PS-growth
    PFP-ECLAT

17. Partial periodic pattern mining:

    Basic	Closed	Maximal	topk
    3P-growth	3P-close	max3P-growth	Topk_3Pgrowth
    3PECLAT

18. Periodic correlated pattern mining:

    Basic
    EPCP-growth

19. Uncertain correlated pattern mining:

    Basic
    CFFI

20. Uncertain frequent pattern mining:

    Basic	top-k
    PUF	TUFP
    TubeP
    TubeS
    UVEclat

21. Uncertain periodic frequent pattern mining:

    Basic
    PTubeP
    PTubeS
    UPFP-growth

22. Recurring pattern mining:

    Basic
    RPgrowth

23. Relative High utility pattern mining:

    Basic
    RHUIM

24. Stable periodic pattern mining:

    Basic
    SPP-growth

25. Uncertain correlated pattern mining:

    Basic
    CFFI