w4bo / predict

Intentional OLAP: EXPLAIN

Research papers

Implementation of the following research papers:

• Francia, Matteo, Stefano Rizzi, and Patrick Marcel. "Explaining cube measures through Intentional Analytics." Information Systems 121 (2024): 102338. DOI: https://doi.org/10.1016/j.is.2023.102338
• Francia, Matteo, Stefano Rizzi, and Patrick Marcel. "The Whys and Wherefores of Cubes." Proceedings of the 25th International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data (DOLAP). 2023. URL: https://ceur-ws.org/Vol-3369/paper4.pdf

Running the tests

This repository allows the user to:

1. download the necessary datasets;
2. bring up a Docker container with Oracle 11g;
3. load the datasets into Oracle;
4. run the tests.

Running the experiments requires the following software to be installed:

• Docker
• Java 14
• Python 3.10

Once the software is installed, execute the following code to run the tests.

cd intentional
chmod +x *.sh
bash init.sh
bash build.sh
bash download.sh
bash start.sh
bash stop.sh

Working and deploying the application

• Change the necessary files (see the ones copied by init.sh)
• Deploy the web application on Tomcat

./deploy.sh

• Remember to chmod -R 777 the folders scr/main/python and the one containing the Oracle client
• (If using Intellij) Remember to set the LD_LIBRARY_PATH in the run/debug configuration (see the .env file)