s1270144/pami

PAMI is a Python library containing 80+ algorithms to discover useful patterns in various databases across multiple computing platforms. (Active)

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.

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

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

3. Code documentation https://tinyurl.com/bdnna3v5

4. Discussions on PAMI usage https://github.com/udayRage/PAMI/discussions

5. 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.

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 Basic-Adv

2. Relative Frequent Patterns: Sample

Basic
RSFP Basic-Adv

3. Frequent pattern with multiple minimum support: Sample

Basic
CFPGrowth
CFPGrowth++

4. Correlated pattern mining: Sample

Basic
CP-growth Basic -Adv
CP-growth++ Basic -Adv

5. Frequent spatial pattern mining: Sample

Basic
spatialECLAT Basic-Adv
FSP-growth Basic-Adv

6. Fuzzy Frequent pattern mining: Sample

Basic
FFI-Miner Basic-Adv

7. Fuzzy correlated pattern mining: Sample

Basic
FCP-growth 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

9. Geo referenced Fuzzy periodic frequent pattern mining: Sample

Basic
FPFP-Miner Basic-Adv

10. High utility pattern mining: Sample

Basic
EFIM Basic-Adv
HMiner Basic-Adv
UPGrowth

11. High utility frequent pattern mining: Sample

Basic
HUFIM Basic-Adv

12. High utility frequent spatial pattern mining: Sample

Basic
SHUFIM Basic-Adv

13. High utility spatial pattern mining: Sample

Basic	topk
HDSHIM Basic-Adv	TKSHUIM
SHUIM Basic

14. Periodic frequent pattern mining: Sample

Basic	Closed	Maximal	Top-K
PFP-growth Basic-Adv	CPFP Basic-Adv	maxPF-growth Basic-Adv	kPFPMiner Basic-Adv
PFP-growth++ Basic-Adv
PS-growth Basic-Adv
PFP-ECLAT Basic-Adv

15. Geo referenced Periodic frequent pattern mining: Sample

Basic
GPFPMiner Basic-Adv

16. Local periodic pattern mining: Sample

Basic
LPPGrowth Basic
LPPMBreadth Basic
LPPMDepth Basic

17. Partial periodic frequent pattern mining: Sample

Basic
GPF-growth Basic-Adv
PPF-DFS Basic-Adv

18. Partial periodic pattern mining: Sample

Basic	Closed	Maximal
3P-growth Basic-Adv	3P-close Basic-Adv	max3P-growth Basic
3P-ECLAT Basic-Adv
G3P-Growth Basic-Adv

19. Partial periodic spatial pattern mining:Sample

Basic
STECLAT Basic-Adv

20. Periodic correlated pattern mining: Sample

Basic
EPCP-growth Basic-Adv

21. Stable periodic pattern mining: Sample

Basic	TopK
SPP-growth Basic-Adv	TSPIN
SPP-ECLAT Basic-Adv

22. Uncertain frequent pattern mining: Sample

Basic	top-k
PUF Basic-Adv	TUFP
TubeP Basic-Adv
TubeS Basic-Adv
UVEclat

23. Uncertain periodic frequent pattern mining: Sample

Basic
UPFP-growth Basic-Adv
UPFP-growth++ Basic-Adv

24. Recurring pattern mining: Sample

Basic
RPgrowth Basic-Adv

25. Relative High utility pattern mining: Sample

Basic
RHUIM Basic-Adv

26. Weighted frequent pattern mining: Sample

Basic
WFIM Basic-Adv

27. Uncertain Weighted frequent pattern mining: Sample

Basic
WUFIM Basic

28. Weighted frequent regular pattern mining: Sample

Basic
WFRIMiner Basic-Adv

29. Weighted frequent neighbourhood pattern mining: Sample

Basic
SSWFPGrowth

30. Sequence frequent pattern mining: Sample

Basic
SPADE Basic-Adv
prefixSpan Basic-Adv