Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/93789
Title: | Gaussian process classification of sportsbook customers |
Authors: | Filletti, Michael (2016) |
Keywords: | Gaussian processes Gambling Cluster analysis |
Issue Date: | 2016 |
Citation: | Filletti, M. (2016). Gaussian process classification of sportsbook customers (Bachelor's dissertation). |
Abstract: | Segmentation is an underrated tool in management science that in many times implemented for different purposes, marketing being the more common. Classification o customers could be of great use to the online betting industry. In this dissertation, we shall use segmentation techniques on a sportsbook dataset using a number of customer characteristics as well as playing habits and performances. Gaussian processes have been much studied and harnessed to aid with diverse problems in statistics; regression and classification being major beneficiaries. In the work developed here techniques using Gaussian processes are considered at length studied and applied to the data. Classical clustering techniques offered benchmarks, background and context for comparative and evaluative purposes. |
Description: | B.SC.(HONS)STATS.&OP.RESEARCH |
URI: | https://www.um.edu.mt/library/oar/handle/123456789/93789 |
Appears in Collections: | Dissertations - FacSciSOR - 2016 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
BSC(HONS)STATS_OPRESEARCH_Filletti_Michael_2016..PDF Restricted Access | 6.22 MB | Adobe PDF | View/Open Request a copy |
Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.