Pami

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We have made minor changes in version PAMI 2024.5.1.2 and updated the repository in PYPI as pami 2024.5.1.2. Please install the latest version of PAMI.

We have made minor changes in version PAMI 2024.5.1 and updated the repository in PYPI as pami 2024.5.1.1. Please install the latest version of PAMI.

We are pleased to announce the release of PAMI 2024.5.1

What's Changed
Optimized algorithms:
* Eclat Bitset by Tarun-Sreepada in https://github.com/UdayLab/PAMI/pull/369
* Update CHARM.py by Tarun-Sreepada in https://github.com/UdayLab/PAMI/pull/389
* optimization by Tarun-Sreepada in https://github.com/UdayLab/PAMI/pull/393
* Efficient Pattern Save / Dataframe export by Tarun-Sreepada in https://github.com/UdayLab/PAMI/pull/397

The latest updates in Documentation:
* startMine() to mine() by charan-teja2003 in https://github.com/UdayLab/PAMI/pull/368
* modified to meet standards by Tarun-Sreepada in https://github.com/UdayLab/PAMI/pull/370
* 144 updated documentation of transaction and temporal database by vanithakattumuri in https://github.com/UdayLab/PAMI/pull/372
* Documentation by pallamadhavi in https://github.com/UdayLab/PAMI/pull/373
* 114 updated html in sphinx by vanithakattumuri in https://github.com/UdayLab/PAMI/pull/375
* documentation update by harsha0632 in https://github.com/UdayLab/PAMI/pull/378
* Documentation changes in https://github.com/UdayLab/PAMI/pull/377
* A to C by charan-teja2003 in https://github.com/UdayLab/PAMI/pull/376
* Documentation by pallamadhavi in https://github.com/UdayLab/PAMI/pull/379
* changes in ffsp file by yerragollahareeshkumar in https://github.com/UdayLab/PAMI/pull/380
* Documentation by pallamadhavi in https://github.com/UdayLab/PAMI/pull/381
* Documentation by pallamadhavi in https://github.com/UdayLab/PAMI/pull/382
* FGPSC MINER by yerragollahareeshkumar in https://github.com/UdayLab/PAMI/pull/383
* 114 Updated documentation in Apriori.py file by vanithakattumuri in https://github.com/UdayLab/PAMI/pull/384
* ARWithConfidence by charan-teja2003 in https://github.com/UdayLab/PAMI/pull/385
* ARWithLeverage.py by LasyaPalla in https://github.com/UdayLab/PAMI/pull/388
* ARWithLift by harsha0632 in https://github.com/UdayLab/PAMI/pull/387
* 2 updated the sphinx documentation without html files by vanithakattumuri in https://github.com/UdayLab/PAMI/pull/390
* 2 updated the sphinx documentation with html files by vanithakattumuri in https://github.com/UdayLab/PAMI/pull/391
* 2 updated docs by vanithakattumuri in https://github.com/UdayLab/PAMI/pull/392
* ARWithLeverage updated by LasyaPalla in https://github.com/UdayLab/PAMI/pull/394
* ARWithLift .py by harsha0632 in https://github.com/UdayLab/PAMI/pull/396
* 2 documentation updated by vanithakattumuri in https://github.com/UdayLab/PAMI/pull/398

New Contributors
* harsha0632 made their first contribution in https://github.com/UdayLab/PAMI/pull/378
* LasyaPalla made their first contribution in https://github.com/UdayLab/PAMI/pull/388

**Full Changelog**: https://github.com/UdayLab/PAMI/compare/2024.4.11.1...2024.5.1

**Full Changelog**: https://github.com/UdayLab/PAMI/compare/2024.5.1...2024.5.1

**Full Changelog**: https://github.com/UdayLab/PAMI/compare/2024.5.1...2024.5.1

We are pleased to announce the release of PAMI 2024.4.11.1
This release includes performance improvements and a new file [Evaluation](https://github.com/UdayLab/PAMI/blob/main/notebooks/Evaluation-neverDelete.ipynb). We recommend that all users upgrade to this version.

PAMI 2024.4.11.1 supports Python 3.9 and higher.

Please report any issues with the release on the [PAMI issues](https://github.com/UdayLab/PAMI/issues).

Thanks to all the contributors who made this release possible.

The latest version of PAMI has been released.
1. Improved the performance of apriori algorithm
2. The bug was fixed for the algorithm parallelFPGrowth and thanks to [netogallo](https://github.com/netogallo) for notifying us of the issue in the parallelFPGrowth algorithm.

CUDA Frequent Pattern Mining:

- [cuApriori](https://github.com/UdayLab/PAMI/blob/main/PAMI/frequentPattern/cuda/cuApriori.py)
- [cuAprioriBit](https://github.com/UdayLab/PAMI/blob/main/PAMI/frequentPattern/cuda/cuAprioriBit.py)
- [cuECLAT](https://github.com/UdayLab/PAMI/blob/main/PAMI/frequentPattern/cuda/cuEclat.py)
- [cuEclatBit](https://github.com/UdayLab/PAMI/blob/main/PAMI/frequentPattern/cuda/cuEclatBit.py)

Parallel EFIM algorithm to mine high utility patterns:

- [EFIMParallel](https://github.com/UdayLab/PAMI/blob/main/PAMI/highUtilityPatterns/parallel/efimparallel.py)

Periodic pattern mining algorithms using CUDA:

- [gPPMiner](https://github.com/UdayLab/PAMI/blob/main/PAMI/partialPeriodicPattern/cuda/gPPMiner.py)
- [cuGPFMiner](https://github.com/UdayLab/PAMI/tree/main/PAMI/periodicFrequentPattern/cuda)


Geo-referenced Frequent Sequence Patterns:

- [GFSPS](https://github.com/UdayLab/PAMI/blob/main/PAMI/georeferencedFrequentSequencePattern/basic/GFSPs.py)



Frequent Pattern Mining over Data Streams:

- [FPStream](https://github.com/UdayLab/PAMI/blob/main/PAMI/streams/frequentPatterns%20/basic/FPStream.py)


High Utility Pattern Mining over Data Streams:

- [HUPMS](https://github.com/UdayLab/PAMI/blob/main/PAMI/streams/highUtility/HUPMS.py)
- [SHUGrowth](https://github.com/UdayLab/PAMI/blob/main/PAMI/streams/highUtility/SHUGrowth.py)


Added new codes to generate synthetic databases (PAMI/extras/syntheticDatabaseGenerator):

- [createSyntheticTransactions](https://github.com/UdayLab/PAMI/blob/main/PAMI/extras/syntheticDatabaseGenerator/createSyntheticTransactions.py) (To create synthetic transactional database)
- [createSyntheticTemporal](https://github.com/UdayLab/PAMI/blob/main/PAMI/extras/syntheticDatabaseGenerator/createSyntheticTemporal.py) (To create synthetic temporal database)
- [createSyntheticUtility](https://github.com/UdayLab/PAMI/blob/main/PAMI/extras/syntheticDatabaseGenerator/createSyntheticUtility.py) (To create synthetic utility database)
- [createUncertainTransactions](https://github.com/UdayLab/PAMI/blob/main/PAMI/extras/syntheticDatabaseGenerator/createSyntheticUncertainTransactions.py) (To create synthetic uncertain transaction database)
- [createUncertainTemporal](https://github.com/UdayLab/PAMI/blob/main/PAMI/extras/syntheticDatabaseGenerator/createSyntheticUncertainTemporal.py) (To create synthetic uncertain temporal database)
- [createGeoreferentialTransactions](https://github.com/UdayLab/PAMI/blob/main/PAMI/extras/syntheticDatabaseGenerator/createSyntheticGeoreferentialTransactions.py) ((To create synthetic geo-referential transaction database)
- [createGeoreferentialTemporal](https://github.com/UdayLab/PAMI/blob/main/PAMI/extras/syntheticDatabaseGenerator/createSyntheticGeoreferentialTemporal.py) (To create synthetic geo-referential temporal database)
- [createGeoreferentialUncertainTransactions](https://github.com/UdayLab/PAMI/blob/main/PAMI/extras/syntheticDatabaseGenerator/createSyntheticGeoreferentialUncertainTransaction.py) (To create synthetic geo-referential uncertain transaction database)

- Created documentation for new algorithms added in PAMI.
- Updated the help function to make it convenient for the users to view user manual using help() function.
- Updated documentation for existing algorithms in PAMI in more abstract level.

**Full Changelog**: https://github.com/udayRage/PAMI/compare/2023.03.01...2023.05.01