Skip to content

This project is to automatically convert a data file from AWS S3 to Amazon DynamoDB, and then retrieve the data from DynamoDB to generate an ARF input for Weka. Then, Weka creates a cluster from those data. And the clustered data is given to D3.js for Data Visualization. This project is developed in Java language. Visualization code is developed…

Notifications You must be signed in to change notification settings

meego/Machine-Learning-from-AWS-DynamoDB-Data

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Machine-Learning-from-AWS-DynamoDB-Data

This project is to automatically convert a data file from AWS S3 to Amazon DynamoDB, and then retrieve the data from DynamoDB to generate an ARF input for Weka. Then, Weka creates a cluster from those data. And the clustered data is given to D3.js for Data Visualization. This project is developed in Java language. Visualization code is developed in JavaScript.

Developed by - Samuel Benison

About

This project is to automatically convert a data file from AWS S3 to Amazon DynamoDB, and then retrieve the data from DynamoDB to generate an ARF input for Weka. Then, Weka creates a cluster from those data. And the clustered data is given to D3.js for Data Visualization. This project is developed in Java language. Visualization code is developed…

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Java 78.2%
  • HTML 21.8%