Harmonic Mean Based Soccer Team Formation Problem

Jafar Afshar, Arousha Haghighian Roudsari, Charles Cheol Gi Lee, Chris Soo Hyun Eom, Wookey Lee, Nidhi Arora

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

This paper provides a review of the literature on team formation problem. We illustrate the review based on two different classifications; operations research and data mining. The papers in each class are then described according to their contributions to the literature. We aim to facilitate the chasing of conducted works in relevant area of interest and to identify trends and fields which should be topic to future studies. Also, we present the problem of the existing Team Formation method and showed our approach outperformed the conventional approaches, where we explained not only the abilities of the players but also the harmony has been one of the key factors that has been worked in the real world soccer datasets.

Original languageEnglish
Title of host publicationProceedings of the 7th International Conference on Emerging Databases - Technologies, Applications, and Theory
EditorsMin Song, Wonik Choi, Sungwon Jung, Wookey Lee
PublisherSpringer Verlag
Pages240-246
Number of pages7
ISBN (Print)9789811065194
DOIs
StatePublished - 2018
Event7th International Conference on Emerging Databases: Technologies, Applications, and Theory, EDB 2017 - Busan, Korea, Republic of
Duration: 7 Aug 20179 Aug 2017

Publication series

NameLecture Notes in Electrical Engineering
Volume461
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference7th International Conference on Emerging Databases: Technologies, Applications, and Theory, EDB 2017
Country/TerritoryKorea, Republic of
CityBusan
Period7/08/179/08/17

Bibliographical note

Publisher Copyright:
© 2018, Springer Nature Singapore Pte Ltd.

Keywords

  • Data mining
  • Operations research
  • Team formation problem

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