Sequential-Pattern-mining-using-TiW

This repository contains an implementation of the paper “Mining weighted sequential patterns in a sequence database
with a time-interval weight” by Joong Hyuk Chang, to fulfil the credit requirements for the course Data Warehousing and Data Mining.

The following is the folder structure of the repository:

1. Code
   
   i.Implementation.ipynb : contains the main code of implementation
   
   ii. dataset_extraction.py : supporting and test file
   
   iii. test.ipynb : supporting and test file
   
   iv. plotting.py : supporting and test file
   
2. Datasets : contain the various generated datasets for the data mining project
   
3. Presentation.pdf : contains the slides used for project proposal and progress
   
4. Report.pdf : contains a detailed report of the project including dataset details,algorithms used in implementation and our contributions.
   
5. sample.pat : sample data files for reference
   
6. sample.data : sample data files for reference
   

Dependencies

1.random

2.matplotlib