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:
- 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 - Datasets : contain the various generated datasets for the data mining project
- Presentation.pdf : contains the slides used for project proposal and progress
- Report.pdf : contains a detailed report of the project including dataset details,algorithms used in implementation and our contributions.
- sample.pat : sample data files for reference
- sample.data : sample data files for reference
Dependencies
1.random
2.matplotlib