This repository is apart of the PhD thesis entitled "Deep Learning-based Predictive Resource Allocation Intelligence for Process-aware Enterprises"
The repository is categorized as follows:
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Experimental results: This folder contains experimental results on three data sets i.e., Helpdesk, BPI 2012, and BPI 2017.
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Desktop App: This folder contains the desktop application described in the Thesis and was built by Java JDK 8. To run the application in your computer, please note that:
- Install Java JDK 8. Download it from here: https://www.oracle.com/kr/java/technologies/javase/javase-jdk8-downloads.html
- Install MySQL database version >= 5.1. The SQL script of database is stored in folder "Desktop App\Database"
- All Java source code is located in folder "Desktop App\src"
- All Python source code is located in folder "Web App"
- To run the application, follow the instructions in file "Desktop App\Instructions.doc"
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Web App: This folder contains the web application described in the Thesis and was built by Python 3.7 with Django framework and Cytoscape.JS library. To run the application, please note that:
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Install the required Python packages (described in requirements.txt):
- matplotlib==3.2.2
- numpy==1.18.5
- pandas==1.0.5
- PyMySQL==0.9.3
- Django==3.0.8
- networkx==2.4
- python_dateutil==2.8.1
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Install MySQL database version >= 5.1. The SQL script of database is stored in folder "Web App\Database"
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Run the application by using this command:
python manage.py runserver
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If you need any additional information, don't hesitate to contact me at phamdinhlam (at) kyonggi dot ac dot kr