IEEE Style Citation: Farhana Siddiqui, Hasan Phudinawala, Chetan Davale , Soham Pawar, “Innovative Idea for Playerelection using Support Vector Machine(Svm),” International Journal of Computer Sciences and Engineering, Vol.7, Issue.4, pp.841-843, 2019.
MLA Style Citation: Farhana Siddiqui, Hasan Phudinawala, Chetan Davale , Soham Pawar "Innovative Idea for Playerelection using Support Vector Machine(Svm)." International Journal of Computer Sciences and Engineering 7.4 (2019): 841-843.
APA Style Citation: Farhana Siddiqui, Hasan Phudinawala, Chetan Davale , Soham Pawar, (2019). Innovative Idea for Playerelection using Support Vector Machine(Svm). International Journal of Computer Sciences and Engineering, 7(4), 841-843.
BibTex Style Citation:
@article{Siddiqui_2019,
author = {Farhana Siddiqui, Hasan Phudinawala, Chetan Davale , Soham Pawar},
title = {Innovative Idea for Playerelection using Support Vector Machine(Svm)},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2019},
volume = {7},
Issue = {4},
month = {4},
year = {2019},
issn = {2347-2693},
pages = {841-843},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4127},
doi = {https://doi.org/10.26438/ijcse/v7i4.841843}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i4.841843}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4127
TI - Innovative Idea for Playerelection using Support Vector Machine(Svm)
T2 - International Journal of Computer Sciences and Engineering
AU - Farhana Siddiqui, Hasan Phudinawala, Chetan Davale , Soham Pawar
PY - 2019
DA - 2019/04/30
PB - IJCSE, Indore, INDIA
SP - 841-843
IS - 4
VL - 7
SN - 2347-2693
ER -
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Abstract
Player Selection is one of the most important tasks for any sport. The success or failure of any team lies in the skills and abilities of the players that comprise the team. The performance of the players depends on various factors and characteristics of a player. The team management select required players for each match from a squad of 7-20 players. Depending on different sports they analyze different characteristics and the statistics of the players to select the best players for each match who can shine on international stage. The process of player selection and team formation in multilayer sports is a complex multi-criteria problem where the ultimate success is determined by how the collection of individual players forms an effective team. The proposed system is formulated that takes into account various available performance data of players gives an optimize and balance team without any human interference which is limited to entering performance data. This system proposes Machine learning technology by implementing Support Vector Machine(SVM) algorithm for efficient player selection. Our system thus can effectively take into account all factors involved and give the optimal team, without human interference.
Key-Words / Index Term
Machine Learning, SVM (SUPPORT VECTOR MACHINE), Player Selection.
References
[1] V. Vapnik. The Nature of Statistical Learning Theory. NY: Springer-Verlag. 1995.
[2]https://www.ibm.com/support/knowledgecenter/en/SS3RA7_15.0.0/com.ibm.spss.modeler.help/svm_howwork.htm
[3]http://www.idi.ntnu.no/emner/it3704/lectures/papers/Bennett_2000_Support.pdf-•
[4]http://aya.technion.ac.il/karniel/CMCC/SVM-tutorial.pdf
[5]http://www.ecs.soton.ac.uk/~srg/publications/pdf/SVM.pdf
[6]http://en.wikipedia.org/wiki/Support_vector_machine
[7]https://data-flair.training/blogs/svm-kernel-function
[8]https://www.sciencedirect.com/science/article/pii/S2210832717301485
[9]https://www.imperial.ac.uk/media/imperial-college/faculty-of-engineering/computing/public/1718-ug-projects/Corentin-Herbinet-Using-Machine-Learning-techniques-to-predict-the-outcome-of-profressional-football-matches.pdf
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