vp4140 / js_arules

Exposing Apriori algorithm to the web. Online: https://bacloud14.github.io/js_arules/

js_arules

https://bacloud14.github.io/js_arules/

Basically, this tiny js application accessible through a single page, uses directly the following projects:

• https://github.com/seratch/apriori.js
• https://github.com/tcorral/JSONC
• https://github.com/mholt/PapaParse

Otherwise, it just exposes them to the Web.

Glimpse of UI

HOME

Contribution

Please see open issues, fork and pull request after manually testing some CSV files:

One good example can be downloaded:

https://www.stats.govt.nz/assets/Uploads/Environmental-economic-accounts/Environmental-economic-accounts-2020-tables/Download-data/renewable-energy-stock-account-2007-18.csv

Test

There is obviously no automated testing, so manually verify browser console for errors, and the following functionalities that comes to mly mind should be verified:

• Loading bar
• Output section for plain text mined results
• Data preview
• Visualization: Visualizations must comply with mined results (correct relationships and colorized groups)
  • Adjacency matrix
  • Weighted graph that

Quick editing on Glitch:

https://glitch.com/~js-arules

Docker Image

This docker image simply serves the sites static content on port 80.

Build

To build the image simply run docker build -t IMAGE_NAME ..

Run

To start serving the website, run docker run -d -p 8080:80 IMAGE_NAME .. Now you can go to http://localhost:8080 and access Interactive Arrays!