The data exploration domain is concerned with extracting relevant information for users from a big database, in the most efficient fashion. In this software, we implement an explore-by-example approach, where users are repeatedly queries for feedback in order to build a model of his preferences.
In order to leverage this explore-by-example approach, we employ techniques from the Active Learning domain. Some of the algorithms currently supported are:
- Random Sampling
- Uncertainty Sampling
- Simple Margin
- Version Space bisection
[1] Tong, S., Koller, D. Support Vector Machine Active Learning with Applications to Text Classification Journal of Machine Learning Research (2001)
Install nodejs: https://nodejs.org/en/
Install java and maven
Launch the Jetty web server
mvn clean compile && mvn -e exec:java -Dexec.mainClass="application.ApplicationServerMain"Launch the web interface
cd src/frontend/gui/
npm start
Go to localhost:3000