User Manual for Implementing the Algorithms in PAMI Library

Chapter 1: Introduction

1. About PAMI: Motivation and the people who supported
2. Maintenance of PAMI library
3. Organization of algorithms in PAMI

Chapter 2: Preparation of various datasets (or databases)

1. Transactional database
2. Temporal database
3. Utility database
4. Uncertain database (to be written)
5. Geo-referenced database
6. Neighborhood database (to be written)
7. Sequential database (to be written)
8. Character sequence databases(to be written)

Chapter 3: Converting dataframes to databases

1. Format of dense dataframe
2. Format of sparse dataframe
3. Approaches to convert a dataframe into various database formats
4. An advanced approach to convert a dataframe into a database

Chapter 4: Creation of very large synthetic databases

1. Creation of transactional database (under development)
2. Creation of temporal database (under development)
3. Creation of Geo-referenced database (under development)

Chapter 5: Printing, displaying, and saving the statistical details of a database

1. Transactional databases
2. Temporal database
3. Utility database

Chapter 6: Implementing algorithms in PAMI

1. Directly executing PAMI algorithms on a terminal/command prompt
2. Using a single algorithm in a Python program
3. Evaluation of multiple pattern mining (under development)

Note: Click on the ‘Basic’ and ‘Adv’ links of an algorithm in the Github page to know more about its usage.

Chapter 7: Additional topics

1. Generating latex graphs for publishing results in conferences and journals (under development)
2. Creation of neighborhood file from a Geo-referenced database using Euclidean distance