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

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License: GNU General Public License v3 (GPLv3) (GPLv3)

Author: Rage Uday Kiran

Requires: Python >=3.5

Classifiers

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

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. 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/udayRage/PAMI/discussions

  6. 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
  1. Relative Frequent Patterns: Sample
Basic
RSFP Basic-Adv
  1. Frequent pattern with multiple minimum support: Sample
Basic
CFPGrowth
CFPGrowth++
  1. Correlated pattern mining: Sample
Basic
CP-growth Basic -Adv
CP-growth++ Basic -Adv
  1. Frequent spatial pattern mining: Sample
Basic
spatialECLAT Basic-Adv
FSP-growth Basic-Adv
  1. Fuzzy Frequent pattern mining: Sample
Basic
FFI-Miner Basic-Adv
  1. Fuzzy correlated pattern mining: Sample
Basic
FCP-growth Basic-Adv
  1. Fuzzy frequent spatial pattern mining: Sample
Basic
FFSP-Miner Basic-Adv
  1. Fuzzy periodic frequent pattern mining: Sample
Basic
FPFP-Miner Basic-Adv
  1. Geo referenced Fuzzy periodic frequent pattern mining: Sample
Basic
FPFP-Miner Basic-Adv
  1. High utility pattern mining: Sample
Basic
EFIM Basic-Adv
HMiner Basic-Adv
UPGrowth
  1. High utility frequent pattern mining: Sample
Basic
HUFIM Basic-Adv
  1. High utility frequent spatial pattern mining: Sample
Basic
SHUFIM Basic-Adv
  1. High utility spatial pattern mining: Sample
Basic topk
HDSHIM Basic-Adv TKSHUIM
SHUIM Basic
  1. 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
  1. Geo referenced Periodic frequent pattern mining: Sample
Basic
GPFPMiner Basic-Adv
  1. Local periodic pattern mining: Sample
Basic
LPPGrowth Basic
LPPMBreadth Basic
LPPMDepth Basic
  1. Partial periodic frequent pattern mining: Sample
Basic
GPF-growth Basic-Adv
PPF-DFS Basic-Adv
  1. 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
  1. Partial periodic spatial pattern mining:Sample
Basic
STECLAT Basic-Adv
  1. Periodic correlated pattern mining: Sample
Basic
EPCP-growth Basic-Adv
  1. Stable periodic pattern mining: Sample
Basic TopK
SPP-growth Basic-Adv TSPIN
SPP-ECLAT Basic-Adv
  1. Uncertain frequent pattern mining: Sample
Basic top-k
PUF Basic-Adv TUFP
TubeP Basic-Adv
TubeS Basic-Adv
UVEclat
  1. Uncertain periodic frequent pattern mining: Sample
Basic
UPFP-growth Basic-Adv
UPFP-growth++ Basic-Adv
  1. Recurring pattern mining: Sample
Basic
RPgrowth Basic-Adv
  1. Relative High utility pattern mining: Sample
Basic
RHUIM Basic-Adv
  1. Weighted frequent pattern mining: Sample
Basic
WFIM Basic-Adv
  1. Uncertain Weighted frequent pattern mining: Sample
Basic
WUFIM Basic
  1. Weighted frequent regular pattern mining: Sample
Basic
WFRIMiner Basic-Adv
  1. Weighted frequent neighbourhood pattern mining: Sample
Basic
SSWFPGrowth
  1. Sequence frequent pattern mining: Sample
Basic
SPADE Basic-Adv
prefixSpan Basic-Adv

Project details

Verified details

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Maintainers
Avatar for RageUdayKiran from gravatar.com RageUdayKiran Avatar for vanithakattumuri from gravatar.com vanithakattumuri

Unverified details

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Project links
GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Meta

License: GNU General Public License v3 (GPLv3) (GPLv3)

Author: Rage Uday Kiran

Requires: Python >=3.5

Classifiers

Release history Release notifications | RSS feed

2024.4.24.2

2024.4.24.1

2024.4.17.1

2024.4.11.1

2024.4.10.1

2024.4.9.1

2024.3.26.1

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2024.3.14.3

2024.3.14.2

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2024.3.12.4

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2024.3.10.1

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2023.7.1

This version

2023.5.1

2023.4.1

2023.3.1

2023.1.2.2

2023.1.2.1

2023.1.1.1

2022.9.12.23

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0.9.7.3.5.0

0.9.7.3.4.37

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0.9.7.2.5

0.9.7.2.4

0.9.7.2.3

0.9.6.1.7.1

0.9.6

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