Tom Healy 2017 Business Computing Project

Tags: algorithms, data, datamining, football, ibm, modelling, predictive, spss

About Me

Name: Tom Healy

 Course: Business Computer System

Project Title: A Critical Review of Data Algorithms used with predictive modeling to forecast real world scenarios

Email Address: 

Contact Number: 07591761740






Logo created for the thesis

File(s) to download

Social media

The Project

 Click here to download the full thesis

This study uses datamining algorithms and predictive tools to analyse football results data to identify and evaluate successful betting strategies. Tools and techniques. Methodology. Extensive use of SPSS. No simple implementable winning betting strategy was found but the research indicates that these techniques have applicability as a decision support tool to in conjunction with further match specific information and market conditions. The approach can be used to evaluate further strategies in the future.


Please feel free to download these files to review the data I used and models created. Please refer to read me file for details on how to use the algorithms. The archive file will need to be unzipped. Please note some of the file paths may need to be edited depending on the system you are using.