Indian T-20 Cricket Game Modelling using Data Mining Techniques: Technical Report

Rawat, Kuldeep (2018) Indian T-20 Cricket Game Modelling using Data Mining Techniques: Technical Report. Undergraduate thesis, Dublin, National College of Ireland.

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Abstract

This report provides information how the project is developed and what problems can it solve in the world of cricket game. The project aim is to develop models using data mining techniques which can help user to view the analysis that are performed by the cricket analyst. The first stage of this project is to gather dataset from websites such as espncricinfo.com. Then the analysis on matches, player and other aspects of the cricket is completed, as a cricket fan discussion about the outcome of a cricket matches is very popular and can go on for several minutes. There are many aspects that must be considered about a team such as player health, performance in the previous two, three matches, position, age, history and opponent.

This document intends to help user understand the problems that are identified and the steps taken to improve the problems related to cricket. The main objective of this project is to change the way people think about a game without knowing the truth or facts about a team, player and manager. This project not only going to build but also compare the models and show the facts that can help us predict outcome of the match. With the help of this project it can benefits many people such as team manager, people who like betting and fans who wants gain insight about their favourite team or player.

The idea is simple extract, clean and perform analysis on data that is gathered and use visualizing tools such Tableau to view analysis for then end users, who can then run analysis as she/he wishes on specific player, team and year.

Item Type:	Thesis (Undergraduate)
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > QA Mathematics > Computer software T Technology > T Technology (General) > Information Technology > Computer software G Geography. Anthropology. Recreation > GV Recreation Leisure > Sports
Divisions:	School of Computing > Bachelor of Science (Honours) in Computing
Depositing User:	Caoimhe Ní Mhaicín
Date Deposited:	07 Nov 2018 11:15
Last Modified:	07 Nov 2018 11:15
URI:	https://norma.ncirl.ie/id/eprint/3475

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