Customized prediction of attendance to soccer matches based on symbolic regression and genetic programming

[1]  Eric H. Hobson,et al.  Using focus groups to inform pharmacy research. , 2008, Research in social & administrative pharmacy : RSAP.

[2]  A. Bortoluzzo,et al.  Ticket consumption forecast for Brazilian championship games , 2017 .

[3]  F. Lera-López,et al.  Sports spectatorship in Spain: attendance and consumption , 2012 .

[4]  Babatunde Buraimo,et al.  Market size and attendance in English premier league football , 2009 .

[5]  N. Scelles,et al.  The determinants of stadium attendance in elite women’s football: Evidence from the UEFA Women's Champions League , 2020, Sport Management Review.

[6]  Dominic P. Searson,et al.  Co‐evolution of non‐linear PLS model components , 2007 .

[8]  Iztok Fister,et al.  Computational Intelligence in Sports , 2018, Adaptation, Learning, and Optimization.

[9]  Regina Madalozzo,et al.  Brazilian Football , 2009 .

[10]  Drisya Alex Thumba,et al.  Symbolic regression-based improved method for wind speed extrapolation from lower to higher altitudes for wind energy applications , 2020 .

[11]  Flavio S. Fogliatto,et al.  Forecasting Daily Volume and Acuity of Patients in the Emergency Department , 2016, Comput. Math. Methods Medicine.

[12]  Sarvapali D. Ramchurn,et al.  Artificial intelligence for team sports: a survey , 2019, The Knowledge Engineering Review.

[13]  Xianneng Li,et al.  Modeling oil production based on symbolic regression , 2015 .

[14]  T. Pawlowski,et al.  Stadium attendance in German professional football – the (un)importance of uncertainty of outcome reconsidered , 2012 .

[15]  Thilo Kunkel,et al.  Consumers’ Perceived Value of Sport Team Games—A Multidimensional Approach , 2017 .

[16]  Ramesh Sharda,et al.  Prediction of athletes performance using neural networks: An application in cricket team selection , 2009, Expert Syst. Appl..

[17]  Steffen Q. Mueller.  Pre- and within-season attendance forecasting in Major League Baseball: a random forest approach , 2020 .

[18]  C. Chao,et al.  Identifying attendance motives for an international league fixture , 2018 .

[19]  F. Lera-López,et al.  Determinants of sports participation and attendance: differences and similarities , 2011 .

[20]  Alexandros Agapitos,et al.  Choosing function sets with better generalisation performance for symbolic regression models , 2020, Genetic Programming and Evolvable Machines.

[21]  Stefan Kohek,et al.  Neural network models for group behavior prediction: a case of soccer match attendance , 2017, Neural Computing and Applications.

[22]  M. Aigner,et al.  A heuristic method for modeling the initial pressure drop in melt filtration using woven screens in polymer recycling , 2019, Polymer Engineering & Science.

[23]  Wen‐Jhan Jane.  The Relationship Between Outcome Uncertainties and Match Attendance: New Evidence in the National Basketball Association , 2014 .

[24]  Baldev Singh,et al.  Genetic Programming: A study on Computer Language , 2014 .

[25]  Ciro Donalek,et al.  Machine-assisted discovery of relationships in astronomy , 2013, 1302.5129.

[26]  Robert Macdonald,et al.  Demand for Sport , 2003 .

[27]  Michael A. Levin.  The value of competition: competitive balance as a predictor of attendance in spectator sports , 2009 .

[28]  Bithin Datta,et al.  Comparative Evaluation of Genetic Programming and Neural Network as Potential Surrogate Models for Coastal Aquifer Management , 2011 .

[29]  Antti Iho,et al.  Impact of Advance Ticket Sales on Attendance in the Finnish Football League , 2010 .

[30]  Chen. Chen,et al.  A demand analysis for the Chinese Professional Baseball League 1990-2008 , 2012 .

[31]  J. Ours,et al.  How outcome uncertainty, loss aversion and team quality affect stadium attendance in Dutch professional football , 2019, Journal of Economic Psychology.

[32]  An Economic Analysis of Attendance Demand for One Day International Cricket , 2016 .

[33]  D. Morgan.  Focus groups for qualitative research. , 1988, Hospital guest relations report.

[34]  Matthew Katz,et al.  Explaining attendance through the brand community triad: Integrating network theory and team identification , 2017 .

[35]  R. Simmons.  The demand for English league football: a club-level analysis. , 1996 .

[36]  Qindan Huang,et al.  Genetic programming for experimental big data mining: A case study on concrete creep formulation , 2016 .

[37]  Gabriel Kronberger,et al.  Parameter identification for symbolic regression using nonlinear least squares , 2019, Genetic Programming and Evolvable Machines.

[38]  Stefan Szymanski,et al.  Income Inequality, Competitive Balance and the Attractiveness of Team Sports: Some Evidence and a Natural Experiment from English Soccer , 2001 .

[39]  Jason A. Winfree,et al.  Short-Run Demand and Uncertainty of Outcome in Major League Baseball , 2010 .

[40]  Seung C. Ahn,et al.  Major League Baseball Attendance , 2014 .

[41]  Adriano Codato,et al.  The institutional configuration of sport policy in Brazil: organization, evolution and dilemmas , 2015 .

[42]  Dries R. Goossens,et al.  The Impact of the Soccer Schedule on TV Viewership and Stadium Attendance , 2018 .

[43]  An analytical perspective on sporting events attendance: The 2007–2008 US NCAA college bowl games , 2010 .

[44]  Kathleen H. Gruben,et al.  The Effect of Promotions on Attendance at Major League Baseball Games , 2011 .

[45]  Mehmet Sahin,et al.  Prediction of Attendance Demand in European Football Games: Comparison of ANFIS, Fuzzy Logic, and ANN , 2018, Comput. Intell. Neurosci..

[46]  Julian Vieceli,et al.  An empirical model of attendance factors at major sporting events , 2010 .

[47]  Wei Gu,et al.  A game-predicting expert system using big data and machine learning , 2019, Expert Syst. Appl..