Tools
Tools
Tiepolo, Douglas Vigeta (2024) GraphLegends: Technical Report. Undergraduate thesis, Dublin, National College of Ireland.
Preview |
PDF (Bachelor of Science)
Download (2MB) | Preview |
Abstract
The main goal of this project is to create a pick recommendation system for the game League of Legends by analysing information such as the match’s bans, player’s individual pick, their teammates picks and their opponent picks. Other factors to be considered are the player’s individual and as a team performance with a given champion in the past games. The game provides a huge amount of information through their API, and I will make use of it to gather, analyse and treat all the data needed. The data mining process is a vital part of this project and the KDD process will be used to understand what data is needed and the process of cleaning and transformation into meaningful information.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Supervisors: | Name Email Bradford, Michael UNSPECIFIED |
| Subjects: | Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science G Geography. Anthropology. Recreation > GV Recreation Leisure > Games and Amusements > Computer Games. Video Games. Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning |
| Divisions: | School of Computing > Bachelor of Science (Honours) in Computing |
| Depositing User: | Ciara O'Brien |
| Date Deposited: | 27 May 2025 17:46 |
| Last Modified: | 27 May 2025 17:46 |
| URI: | https://norma.ncirl.ie/id/eprint/7689 |
Actions (login required)
 |
View Item |