LEADER 05323nam 22006855 450 001 9910629282803321 005 20251009105908.0 010 $a9789811970498 010 $a9811970491 024 7 $a10.1007/978-981-19-7049-8 035 $a(MiAaPQ)EBC7132914 035 $a(Au-PeEL)EBL7132914 035 $a(CKB)25289944700041 035 $a(PPN)266350747 035 $a(DE-He213)978-981-19-7049-8 035 $a(OCoLC)1350844350 035 $a(EXLCZ)9925289944700041 100 $a20221105d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aData Mining and Machine Learning in High-Performance Sport $ePerformance Analysis of On-field and Video Assistant Referees in European Soccer Leagues /$fby Rabiu Muazu Musa, Anwar P.P. Abdul Majeed, Mohamad Razali Abdullah, Garry Kuan, Mohd Azraai Mohd Razman 205 $a1st ed. 2022. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2022. 215 $a1 online resource (63 pages) 225 1 $aSpringerBriefs in Applied Sciences and Technology,$x2191-5318 311 08$aPrint version: Muazu Musa, Rabiu Data Mining and Machine Learning in High-Performance Sport Singapore : Springer,c2022 9789811970481 320 $aIncludes bibliographical references and index. 327 $aCurrent Trend of Analysis in High-Performance Sport, and the Recent Updates in Data Mining and Machine Learning Application in Sports -- Pattern Recognition of Misconducts Offences and Bookings of Top-European Soccer Leagues Referees -- Tactical and Misconduct Actions leading to VAR Interventions in Top-Flights European Soccer Leagues -- Positional Events Incidences Leading to VAR Intervention in European Soccer Leagues Games -- Decisions Error of Top European Leagues Soccer Leagues Referees at Specific Time of Match Play -- Prevalence and Differences of Decisions Error in Top-Class European Soccer Leagues -- Relationship Between match loading and Decisions Error among top-class European Soccer Leagues Referees -- Summary, Conclusion, Current Status and Future Direction for Referees' Performance in European Soccer Leagues. 330 $aThis book explores the application of data mining and machine learning techniques in studying the activity pattern, decision-making skills, misconducts, and actions resulting in the intervention of VAR in European soccer leagues referees. The game of soccer at the elite level is characterised by intense competitions, a high level of intensity, technical, and tactical skills coupled with a long duration of play. Referees are required to officiate the game and deliver correct and indisputable decisions throughout the duration of play. The increase in the spatial and temporal task demands of the game necessitates that the referees must respond and cope with the physiological and psychological loads inherent in the game. The referees are also required to deliver an accurate decision and uphold the rules and regulations of the game during a match. These demands and attributes make the work of referees highly complex. The increasing pace and complexity of the game resulted in the introduction of the Video Assistant Referee (VAR) to assist and improve the decision-making of on-field referees. Despite the integration of VAR into the current refereeing system, the performances of the referees are yet to be error-free. Machine learning coupled with data mining techniques has shown to be vital in providing insights from a large dataset which could be used to draw important inferences that can aid decision-making for diagnostics purposes and overall performance improvement. A total of 6232 matches from 5 consecutive seasons officiated across the English Premier League, Spanish LaLiga, Italian Serie A as well as the German Bundesliga was studied. It is envisioned that the findings in this book could be useful in recognising the activity pattern of top-class referees, that is non-trivial for the stakeholders in devising strategies to further enhance the performances of referees as well as empower talent identification experts with pertinent information for mapping out future high-performance referees. 410 0$aSpringerBriefs in Applied Sciences and Technology,$x2191-5318 606 $aComputational intelligence 606 $aMachine learning 606 $aSports sciences 606 $aRecreation$xEquipment and supplies 606 $aData mining 606 $aComputational Intelligence 606 $aMachine Learning 606 $aSport Technology 606 $aData Mining and Knowledge Discovery 615 0$aComputational intelligence. 615 0$aMachine learning. 615 0$aSports sciences. 615 0$aRecreation$xEquipment and supplies. 615 0$aData mining. 615 14$aComputational Intelligence. 615 24$aMachine Learning. 615 24$aSport Technology. 615 24$aData Mining and Knowledge Discovery. 676 $a006.312 700 $aMuazu Musa$b Rabiu$0871676 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910629282803321 996 $aData mining and machine learning in high-performance sport$93070551 997 $aUNINA