{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T11:30:55Z","timestamp":1777375855014,"version":"3.51.4"},"reference-count":33,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2018,8,7]],"date-time":"2018-08-07T00:00:00Z","timestamp":1533600000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Mach Learn"],"published-print":{"date-parts":[[2019,1]]},"DOI":"10.1007\/s10994-018-5747-8","type":"journal-article","created":{"date-parts":[[2018,8,7]],"date-time":"2018-08-07T15:56:18Z","timestamp":1533657378000},"page":"97-126","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":69,"title":["Incorporating domain knowledge in machine learning for soccer outcome prediction"],"prefix":"10.1007","volume":"108","author":[{"given":"Daniel","family":"Berrar","sequence":"first","affiliation":[]},{"given":"Philippe","family":"Lopes","sequence":"additional","affiliation":[]},{"given":"Werner","family":"Dubitzky","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,8,7]]},"reference":[{"issue":"7","key":"5747_CR1","doi-asserted-by":"publisher","first-page":"795","DOI":"10.1002\/for.2471","volume":"36","author":"G Angelini","year":"2017","unstructured":"Angelini, G., & De Angelis, L. (2017). PARX model for football match predictions. Journal of Forecasting, 36(7), 795\u2013807.","journal-title":"Journal of Forecasting"},{"issue":"1","key":"5747_CR2","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1186\/1471-2105-7-73","volume":"7","author":"D Berrar","year":"2006","unstructured":"Berrar, D., Bradbury, I., & Dubitzky, W. (2006). Instance-based concept learning from multiclass DNA microarray data. BMC Bioinformatics, 7(1), 73.","journal-title":"BMC Bioinformatics"},{"issue":"1","key":"5747_CR3","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1023\/A:1018557312521","volume":"7","author":"CE Brodley","year":"1997","unstructured":"Brodley, C. E., & Smyth, P. (1997). Applying classification algorithms in practice. Statistics and Computing, 7(1), 45\u201356.","journal-title":"Statistics and Computing"},{"key":"5747_CR4","unstructured":"Chen, T., & Guestrin, C. (2016). XGBoost: Reliable large-scale tree boosting system. In: M. Shah, A. Smola, C. Aggarwal, D. Shen, & R. Rastogi (Eds.) Proceedings of the 22nd ACM SIGKDD conference on knowledge discovery and data mining, San Francisco, CA, USA (pp. 785\u2013794)."},{"key":"5747_CR5","unstructured":"Chen, T., He, T., Benesty, M., Khotilovich, V., & Tang, Y. (2017). xgboost: Extreme gradient boosting. \n                    https:\/\/CRAN.R-project.org\/package=xgboost\n                    \n                  , R package version 0.6-4. Further documentation at \n                    https:\/\/xgboost.readthedocs.io\/en\/latest\/\n                    \n                  . Accessed 24 July 2018."},{"key":"5747_CR6","doi-asserted-by":"publisher","unstructured":"Constantinou, A. (2018). Dolores: A model that predicts football match outcomes from all over the world. Machine Learning. \n                    https:\/\/doi.org\/10.1007\/s10994-018-5703-7\n                    \n                  .","DOI":"10.1007\/s10994-018-5703-7"},{"key":"5747_CR7","doi-asserted-by":"publisher","unstructured":"Constantinou, A., & Fenton, N. (2012). Solving the problem of inadequate scoring rules for assessing probabilistic football forecast models. Journal of Quantitative Analysis in Sports, 8(1). \n                    https:\/\/doi.org\/10.1515\/1559-0410.1418\n                    \n                  .","DOI":"10.1515\/1559-0410.1418"},{"issue":"1","key":"5747_CR8","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1109\/TIT.1967.1053964","volume":"13","author":"T Cover","year":"1967","unstructured":"Cover, T., & Hart, P. (1967). Nearest neighbor pattern classification. IEEE Transactions on Information Theory IT, 13(1), 21\u201327.","journal-title":"IEEE Transactions on Information Theory IT"},{"issue":"2","key":"5747_CR9","first-page":"265","volume":"46","author":"M Dixon","year":"1997","unstructured":"Dixon, M., & Coles, S. (1997). Modelling association football scores and inefficiencies in the football betting market. Applied Statistics, 46(2), 265\u2013280.","journal-title":"Applied Statistics"},{"key":"5747_CR10","doi-asserted-by":"publisher","unstructured":"Dubitzky, W., Lopes, P., Davis, J., & Berrar, D. (2018). The Open International Soccer Database. Machine Learning. \n                    https:\/\/doi.org\/10.1007\/s10994-018-5726-0\n                    \n                  .","DOI":"10.1007\/s10994-018-5726-0"},{"issue":"457","key":"5747_CR11","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1198\/016214502753479248","volume":"97","author":"S Dudoit","year":"2002","unstructured":"Dudoit, S., Fridlyand, J., & Speed, T. (2002). Comparison of discrimination methods for the classification of tumors using gene expression data. Journal of the American Statistical Association, 97(457), 77\u201387.","journal-title":"Journal of the American Statistical Association"},{"key":"5747_CR12","volume-title":"The rating of chessplayers, past and present","author":"AE Elo","year":"1978","unstructured":"Elo, A. E. (1978). The rating of chessplayers, past and present. London: Batsford."},{"issue":"6","key":"5747_CR13","doi-asserted-by":"publisher","first-page":"985","DOI":"10.1175\/1520-0450(1969)008<0985:ASSFPF>2.0.CO;2","volume":"8","author":"ES Epstein","year":"1969","unstructured":"Epstein, E. S. (1969). A scoring system for probability forecasts of ranked categories. Journal of Applied Meteorology, 8(6), 985\u2013987.","journal-title":"Journal of Applied Meteorology"},{"issue":"3","key":"5747_CR14","doi-asserted-by":"publisher","first-page":"551","DOI":"10.1016\/j.ijforecast.2005.03.003","volume":"21","author":"D Forrest","year":"2005","unstructured":"Forrest, D., Goddard, J., & Simmons, R. (2005). Odds-setters as forecasters: The case of English football. International Journal of Forecasting, 21(3), 551\u2013564.","journal-title":"International Journal of Forecasting"},{"issue":"5","key":"5747_CR15","doi-asserted-by":"publisher","first-page":"1189","DOI":"10.1214\/aos\/1013203451","volume":"29","author":"J Friedman","year":"2001","unstructured":"Friedman, J. (2001). Greedy function approximation: A gradient boosting machine. The Annals of Statistics, 29(5), 1189\u20131232.","journal-title":"The Annals of Statistics"},{"issue":"2","key":"5747_CR16","doi-asserted-by":"publisher","first-page":"331","DOI":"10.1016\/j.ijforecast.2004.08.002","volume":"21","author":"J Goddard","year":"2005","unstructured":"Goddard, J. (2005). Regression models for forecasting goals and match results in association football. International Journal of Forecasting, 21(2), 331\u2013340.","journal-title":"International Journal of Forecasting"},{"issue":"1","key":"5747_CR17","doi-asserted-by":"publisher","first-page":"150","DOI":"10.2466\/05.PMS.113.4.150-156","volume":"113","author":"M G\u00f3mez","year":"2011","unstructured":"G\u00f3mez, M., Pollard, R., & Luis-Pascual, J. (2011). Comparison of the home advantage in nine different professional team sports in Spain. Perceptual and Motor Skills, 113(1), 150\u2013156.","journal-title":"Perceptual and Motor Skills"},{"issue":"2","key":"5747_CR18","doi-asserted-by":"publisher","first-page":"203","DOI":"10.2307\/2347001","volume":"23","author":"I Hill","year":"1974","unstructured":"Hill, I. (1974). Association football and statistical inference. Applied Statistics, 23(2), 203\u2013208.","journal-title":"Applied Statistics"},{"key":"5747_CR19","doi-asserted-by":"publisher","unstructured":"Hub\u00e1\u010dek, O., \u0160ourek, G., & \u017delezn\u00fd, F. (2018). Learning to predict soccer results from relational data with gradient boosted trees. Machine Learning. \n                    https:\/\/doi.org\/10.1007\/s10994-018-5704-6\n                    \n                  .","DOI":"10.1007\/s10994-018-5704-6"},{"issue":"3","key":"5747_CR20","doi-asserted-by":"publisher","first-page":"460","DOI":"10.1016\/j.ijforecast.2009.10.002","volume":"26","author":"LM Hvattum","year":"2010","unstructured":"Hvattum, L. M., & Arntzen, H. (2010). Using ELO ratings for match result prediction in association football. International Journal of Forecasting, 26(3), 460\u2013470.","journal-title":"International Journal of Forecasting"},{"key":"5747_CR21","doi-asserted-by":"crossref","unstructured":"Kennedy, J., & Eberhart, R. (1995). Particle swarm optimization. In Proceedings of IEEE international conference on neural networks (Vol. 4, pp. 1942\u20131948).","DOI":"10.1109\/ICNN.1995.488968"},{"issue":"3","key":"5747_CR22","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1111\/j.1467-9574.1982.tb00782.x","volume":"36","author":"M Maher","year":"1982","unstructured":"Maher, M. (1982). Modelling association football scores. Statistica Neerlandica, 36(3), 109\u2013118.","journal-title":"Statistica Neerlandica"},{"issue":"6","key":"5747_CR23","first-page":"513","volume":"22","author":"P O\u2019Donoghue","year":"2004","unstructured":"O\u2019Donoghue, P., Dubitzky, W., Lopes, P., Berrar, D., Lagan, K., Hassan, D., et al. (2004). An evaluation of quantitative and qualitative methods of predicting the 2002 FIFA World Cup. Journal of Sports Sciences, 22(6), 513\u2013514.","journal-title":"Journal of Sports Sciences"},{"key":"5747_CR24","unstructured":"R Core Team. (2017). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. \n                    https:\/\/www.R-project.org\/\n                    \n                  . Accessed 24 July 2018."},{"issue":"4","key":"5747_CR25","doi-asserted-by":"publisher","first-page":"581","DOI":"10.2307\/2343726","volume":"131","author":"C Reep","year":"1968","unstructured":"Reep, C., & Benjamin, B. (1968). Skill and chance in association football. Journal of the Royal Statistical Society, Series A (General), 131(4), 581\u2013585.","journal-title":"Journal of the Royal Statistical Society, Series A (General)"},{"issue":"1","key":"5747_CR26","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10994-013-5425-9","volume":"95","author":"C Rudin","year":"2014","unstructured":"Rudin, C., & Wagstaff, K. L. (2014). Machine learning for science and society. Machine Learning, 95(1), 1\u20139.","journal-title":"Machine Learning"},{"key":"5747_CR27","doi-asserted-by":"crossref","unstructured":"Shi, Y., & Eberhart, R. (1998). A modified particle swarm optimizer. In Proceedings of IEEE international conference on evolutionary computation (pp. 69\u201373).","DOI":"10.1109\/ICEC.1998.699146"},{"issue":"1","key":"5747_CR28","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1002\/for.1091","volume":"28","author":"M Spann","year":"2008","unstructured":"Spann, M., & Skiera, B. (2008). Sports forecasting: A comparison of the forecast accuracy of prediction markets, betting odds and tipsters. Journal of Forecasting, 28(1), 55\u201372.","journal-title":"Journal of Forecasting"},{"key":"5747_CR29","unstructured":"Tsokos, A., Narayanan, S., Kosmidis, I., Baio., G., Cucuringu, M., Whitaker, G., & Kir\u00e1ly, F. (2018). Modeling outcomes of soccer matches. Machine Learning. (to appear)."},{"key":"5747_CR30","doi-asserted-by":"crossref","unstructured":"Van\u00a0Haaren, J., Dzyuba, V., Hannosset, S., & Davis, J. (2015). Automatically discovering offensive patterns in soccer match data. In E. Fromont, T. De\u00a0Bie, & M. van Leeuwen (Eds.) International symposium on intelligent data analysis. Lecture notes in computer science, Saint-\u00c9tienne, France, October 22\u201324, 2015 (pp. 286\u2013297). Springer, Berlin.","DOI":"10.1007\/978-3-319-24465-5_25"},{"key":"5747_CR31","unstructured":"Van\u00a0Haaren, J., Hannosset, S., & Davis, J. (2016). Strategy discovery in professional soccer match data. In Proceedings of the KDD-16 workshop on large-scale sports analytics (LSSA-2016) (pp. 1\u20134)."},{"issue":"1","key":"5747_CR32","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10115-007-0114-2","volume":"14","author":"X Wu","year":"2008","unstructured":"Wu, X., Kumar, V., Quinlan, J. R., Ghosh, J., Yang, Q., & Hea, M. (2008). Top 10 algorithms in data mining. Knowledge and Information Systems, 14(1), 1\u201337.","journal-title":"Knowledge and Information Systems"},{"key":"5747_CR33","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1016\/j.envsoft.2013.01.004","volume":"43","author":"M Zambrano-Bigiarini","year":"2013","unstructured":"Zambrano-Bigiarini, M., & Rojas, R. (2013). A model-independent particle swarm optimisation software for model calibration. Environmental Modelling & Software, 43, 5\u201325.","journal-title":"Environmental Modelling & Software"}],"container-title":["Machine Learning"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10994-018-5747-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10994-018-5747-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10994-018-5747-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,14]],"date-time":"2019-08-14T04:31:17Z","timestamp":1565757077000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10994-018-5747-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,8,7]]},"references-count":33,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2019,1]]}},"alternative-id":["5747"],"URL":"https:\/\/doi.org\/10.1007\/s10994-018-5747-8","relation":{},"ISSN":["0885-6125","1573-0565"],"issn-type":[{"value":"0885-6125","type":"print"},{"value":"1573-0565","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,8,7]]},"assertion":[{"value":"14 July 2017","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 July 2018","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 August 2018","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}