Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
A Machine Learning Ensembling Approach to Predicting Transfer Values
Date
2022-03-01
Author
Aydemir, Ayşe Elvan
Taşkaya Temizel, Tuğba
Temizel, Alptekin
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
246
views
0
downloads
Cite This
Predicting transfer values of association football players, despite its importance, has been studied in a limited way in the literature. The existing approaches have mainly focused on explanatory models that cannot be used in predicting future values. In this paper, we propose a method where we fuse in-game performance data, player popularity metrics from the web and actual transfer values. The method uses a model ensembling approach to capture diferent dynamics in transfer market. The proposed approach outperforms the state-of-the art models and commonly used benchmarks.
Subject Keywords
Predictive modelling
,
Football analytics
,
Player valuation
,
Data fusion
,
Model ensembling
URI
https://link.springer.com/article/10.1007/s42979-022-01095-z
https://hdl.handle.net/11511/97145
Journal
SN Computer Science
DOI
https://doi.org/10.1007/s42979-022-01095-z
Collections
Graduate School of Informatics, Article
Suggestions
OpenMETU
Core
Migrants ‘at home’ or ‘visiting’?: Insights on the collective identities of the Turkish diaspora football supporters
Alpan, Başak Zeynep (null; 2018-06-15)
If there is one thing that academia has learnt from football, it is that football indeed emerged as a significant marker of identity. Football, due to its fundamental design of binary oppositions, continuously invites the spectator – even if his/her ‘own’ team is not involved – to take sides and express partisanship. The picture gets even more complicated when the inter-related processes of migration and diasporic identification on the part of fan identities shape and respond to collective and spatial polit...
A constructivist approach to the integration of systematic reflection in EAP courses: an action research study
Kızılcık Eren, Hale; Daloğlu, Ayşegül; Department of Foreign Language Education (2012)
The aim of the study was to investigate to what extent integrating systematic reflection into the academic English courses at the tertiary level fosters learning. To this end, the teacher-researcher designed an action research study and carried it out with seventy-one students in the three sections of ENG 101 she taught at the Middle East Technical University. In the course of the action research, the teacher-researcher developed an interactive reflection model in which the teacher and students engage in a ...
An Approach for determining process economy parameters of multivariate loss functions
Özkan, Gökçe; Köksal, Gülser; Department of Industrial Engineering (2016)
The aim of this study is to provide an effective method for determining parameters of multivariate loss functions, which are related with process economics. The loss functions are widely used in product and process design and other quality engineering applications. Although there are several studies about different types of loss functions, there is a lack of studies on determining cost matrix parameters of these functions. For this purpose, we propose a method based on multi-objective decision making tools....
A VALIDATION STUDY OF GOAL ORIENTATIONS AND SELF-EFFICACY SCALES
Acarlar, Gizem; Bilgiç, Reyhan (2010-12-01)
The aim of the current study was to investigate the validity and reliability of goal orientation and self-efficacy scales. The scales were administered to 264 university students (154 from engineering departments, 110 from business administration). Two samples were used. In the first sample, the original factor model was tested with confirmatory factor analysis. In the second sample, the Turkish versions of the scales were factor analyzed. Principal components analysis resulted in three components for the G...
A descriptive study on the critical thinking levels of the students at the unit of English Preparatory School at Hacettepe University
Dayıoğlu, Seçil; Paykoç, Fersun; Department of Educational Sciences (2003)
The aim of the study is to examine the critical thinking levels of the students who attended Hacettepe University English Preparatory School in the academic year of 2002-2003. In this study, Watson-Glaser Critical Thinking Appraisal Test, the information form and the English proficiency exam were used to collect data. The critical thinking appraisal test was administered to 300 students; however, only 193 students out of 300 returned their tests back. The data were analyzed through SPSS program. The results...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
A. E. Aydemir, T. Taşkaya Temizel, and A. Temizel, “A Machine Learning Ensembling Approach to Predicting Transfer Values,”
SN Computer Science
, vol. 3, no. 201, pp. 0–0, 2022, Accessed: 00, 2022. [Online]. Available: https://link.springer.com/article/10.1007/s42979-022-01095-z.