Updating PAMI documentation

• 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: 2023.03.01...2023.05.01

New Algorithms

Parallel Frequent Pattern Mining:

• parallelApriori
• parallelECLAT
• parallelFPGrowth

Frequent Pattern Mining using CUDA:

• cudaAprioriGCT
• cudaAprioriTID
• cudaEclatGCT

Multiple Minimum Support Based Frequent Pattern Mining:

• CFPGrowth
• CFPGrowth++

Sequential Pattern Mining:

• prefixSpan
• SPADE

Fault Tolerant Frequent Pattern Ming:

• FTApriori
• VBFTMine

Weighted Frequent Pattern Mining:

• WFIM
• SWFPGrowth
• WFRIMiner
• WUFIM

Top-K Periodic-Frequent Pattern Mining:

• kPFPMiner

Geo-Reference Periodic Frequent Pattern Mining:

• GPFP-Miner

GPU Accelerated Periodic Frequent Pattern Mining:

• gPFMinerBit

Partial Periodic Pattern Mining:

• 3PECLAT
• G3PGrowth

Periodic Frequent Pattern Mining in Uncertain Databases:

• UPFPGrowth++

Geo-referenced Frequent Pattern Mining in Uncertain Databases:

• GFP-growth

Adding New Algorithms

Added Uncertain Frequent Pattern Algorithms

• #UFGrowth
• #UVECLAT
• #TubeP
• #TubeS
• #TUFP

Added Periodic Frequent Pattern Algorithm using ECLAT Diffset

• #PFPMC

Added code to convert dataFrame into Figures

• #dataFrameIntoFigures

Added Code to Scatter Plot the spatial information

• #scatterPlotSpatialPoints

PAttern MIning Python Library

This is the first pre-release of the PAMI library

Full Changelog: https://github.com/udayRage/PAMI/commits/0.9.5