This software is being developed at the University of Aizu, Aizu-Wakamatsu, Fukushima, Japan
Project description
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.
- The user manual for PAMI library is available at https://udayrage.github.io/PAMI/index.html
- Datasets to implement PAMI algorithms are available at https://www.u-aizu.ac.jp/~udayrage/software.html
- 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.
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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 -
Frequent pattern mining using other measures: Sample
Basic RSFP -
Frequent pattern with multiple minimum support: Sample
Basic CFPGrowth CFPGrowth++ -
Correlated pattern mining: Sample
Basic CP-growth Basic -Adv CP-growth++ Basic -
Frequent spatial pattern mining: Sample
Basic spatialECLAT Basic-Adv FSP-growth Basic-Adv -
Fuzzy Frequent pattern mining: Sample
Basic FFI-Miner Basic-Adv -
Fuzzy correlated pattern mining: Sample
Basic FCP-growth Basic-Adv -
Fuzzy frequent spatial pattern mining: Sample
Basic FFSP-Miner Basic-Adv -
Fuzzy periodic frequent pattern mining: Sample
Basic FPFP-Miner Basic-Adv -
Geo referenced Fuzzy periodic frequent pattern mining:
Basic FPFP-Miner Basic-Adv -
High utility pattern mining: Sample
Basic EFIM HMiner UPGrowth -
High utility frequent pattern mining: Sample
Basic HUFIM -
High utility frequent spatial pattern mining: Sample
Basic SHUFIM -
High utility spatial pattern mining: Sample
Basic topk HDSHIM TKSHUIM SHUIM -
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 -
Geo referenced Periodic frequent pattern mining:Sample
Basic GPFPMiner -
Local periodic pattern mining: Sample
Basic LPPGrowth LPPMBreadth LPPMDepth -
Partial periodic frequent pattern mining: Sample
Basic GPF-growth Basic-Adv PPF-DFS Basic-Adv -
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 -
Partial periodic spatial pattern mining:Sample
Basic STECLAT -
Periodic correlated pattern mining: Sample
Basic EPCP-growth Basic-Adv -
Stable periodic pattern mining: Sample
Basic SPP-growth SP-ECLAT -
Uncertain frequent pattern mining: Sample
Basic top-k PUF TUFP TubeP TubeS UVEclat -
Uncertain periodic frequent pattern mining: Sample
Basic UPFP-growth -
Recurring pattern mining: Sample
Basic RPgrowth -
Relative High utility pattern mining: Sample
Basic RHUIM -
Weighted frequent pattern mining: Sample
Basic WFIM -
Uncertain Weighted frequent pattern mining: Sample
Basic WUFIM -
Weighted frequent regular pattern mining: To be Written
Basic WFRIMiner -
Weighted frequent neighbourhood pattern mining: TO BE WRITTEN
Basic SSWFPGrowth
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