{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,11]],"date-time":"2026-01-11T14:32:46Z","timestamp":1768141966368,"version":"3.49.0"},"reference-count":26,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,7]]},"DOI":"10.1109\/iisa.2019.8900754","type":"proceedings-article","created":{"date-parts":[[2019,11,25]],"date-time":"2019-11-25T18:47:21Z","timestamp":1574707641000},"page":"1-4","source":"Crossref","is-referenced-by-count":43,"title":["Sports Analytics algorithms for performance prediction"],"prefix":"10.1109","author":[{"given":"Konstantinos","family":"Apostolou","sequence":"first","affiliation":[{"name":"International Hellenic University,The Data Mining and Analytics Research Group School of Science & Technology,Thermi,Greece,57001"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christos","family":"Tjortjis","sequence":"additional","affiliation":[{"name":"International Hellenic University,The Data Mining and Analytics Research Group School of Science & Technology,Thermi,Greece,57001"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","year":"2015","journal-title":"Competitive fire helps Kirk Lacob make his own name with Warriors"},{"key":"ref11","year":"2014","journal-title":"New age of NBA analytics Advantage or overload? - The Boston Globe"},{"key":"ref12","year":"2016","journal-title":"Stats LLC and NBA to make STATS SportVU Player Tracking data available to more fans than ever before - NBA com NBA Communications"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW.2016.0027"},{"key":"ref14","year":"2019"},{"key":"ref15","article-title":"The WEKA Workbench","author":"frank","year":"2016","journal-title":"Online Appendix for Data Mining Practical Machine Learning Tools and Techniques"},{"key":"ref16","author":"platt","year":"1998","journal-title":"Sequential minimal optimization A fast algorithm for training support vector machines"},{"key":"ref17","year":"2019"},{"key":"ref18","article-title":"API design for machine learning software: experiences from the scikit- learn project","author":"buitinck","year":"2013","journal-title":"European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML\/PKDD)"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s11634-016-0246-x"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/SIEDS.2018.8374746"},{"key":"ref3","author":"tichy","year":"2016","journal-title":"“Changing the Game ?Dr Dave? Schrader"},{"key":"ref6","first-page":"309","article-title":"The use of data mining for basketball matches outcomes prediction","author":"miljkovi?","year":"0","journal-title":"SIISY 2010 - 8th IEEE Int Symp Intell Syst Informatics"},{"key":"ref5","author":"papalexakis","year":"2017","journal-title":"tHoops A Multi-Aspect Analytical Framework Spatio-Temporal Basketball Data"},{"key":"ref8","first-page":"1","article-title":"From Sports to Science: Using Basketball Analytics to Broaden the Appeal of Math and Science Among Youth","author":"drazan","year":"2017","journal-title":"MIT Sloan Sports Anal Conf"},{"key":"ref7","first-page":"138","author":"wilson","year":"2009","journal-title":"Inverting the Pyramid The History of Football Tactics"},{"key":"ref2","first-page":"108","article-title":"Moneyball and the Role of Sports Analytics: A Decision- Theoretic Perspective","author":"gerrard","year":"0","journal-title":"N American Society for Sport Management Conf"},{"key":"ref9","author":"mccann","year":"2012","journal-title":"Player tracking transforming NBA analytics - Tech - ESPN Playbook- ESPN"},{"key":"ref1","year":"2019","journal-title":"Beyond Moneyball The future of sports analytics Analytics Magazine"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1504\/IJDMB.2013.055499"},{"key":"ref22","year":"2017","journal-title":"Big Data Analytics Machine Learning Artificial Intelligence"},{"key":"ref21","year":"2018","journal-title":"FC Barcelona Pioneering a New Field of Analytics - MIT Sloan Analytics Conference"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s10796-009-9157-0"},{"key":"ref23","year":"2019","journal-title":"Lionel Messi - History"},{"key":"ref26","author":"yang","year":"2015","journal-title":"Predicting Regular Season Results of NBA Teams Based on Regression Analysis of Common Basketball Statistics"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1515\/jqas-2015-0088"}],"event":{"name":"2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA)","location":"Patras, Greece","start":{"date-parts":[[2019,7,15]]},"end":{"date-parts":[[2019,7,17]]}},"container-title":["2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8893976\/8900660\/08900754.pdf?arnumber=8900754","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,4]],"date-time":"2025-09-04T18:20:25Z","timestamp":1757010025000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8900754\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/iisa.2019.8900754","relation":{},"subject":[],"published":{"date-parts":[[2019,7]]}}}