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A Study on Application of Machine Learning Algorithms to Visitor Marketing in Sports Stadium
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기계학습 알고리즘을 사용한 스포츠 경기장 방문객 마케팅 적용 방안

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Type
Academic journal
Author
So-Hyun Park (숙명여자대학교) Sun-Young Ihm (숙명여자대학교) Young-Ho Park (숙명여자대학교)
Journal
Digital Contents Society Journal of Digital Contents Society Vol.19 No.1 KCI Accredited Journals
Published
2018.1
Pages
27 - 33 (7page)

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A Study on Application of Machine Learning Algorithms to Visitor Marketing in Sports Stadium
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Abstract· Keywords

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In this study, we analyze the big data of visitors who are looking for a sports stadium in marketing field and conduct research to provide customized marketing service to consumers. For this purpose, we intend to derive a similar visitor group by using the K-means clustering method. Also, we will use the K-nearest neighbors method to predict the store of interest for new visitors. As a result of the experiment, it was possible to provide a marketing service suitable for each group attribute by deriving a group of similar visitors through the above two algorithms, and it was possible to recommend products and events for new visitors.
#데이터 분석 #K-평균 군집화 #K-근접 이웃 #기계학습 알고리즘 #스포츠마케팅 #Big Data Analytics #K-Means Clustering #K-NN #Machine Learning Algorithm #Sport Marketing

Contents

[요약]
[Abstract]
Ⅰ. 서론
Ⅱ. 관련 연구
Ⅲ. 기계학습 기반 스포츠 경기장 방문객 분석
Ⅳ. 실험 결과 분석 및 활용
Ⅴ. 결론
참고문헌

References (12)

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[학술지(정기간행물)] - 엄정길 / 2012 / 기계 학습을 이용한 고객 분류 성능 비교 / Journal of The Korean Data Analysis Society 14 (5) : 2441 ~ 2450 dbpia [학술지(정기간행물)] - 박화범 / 2013 / 추천시스템을 위한 k-means 기법과 베이시안 네트워크를 이용한 가중치 선호도 군집 방법 / Journal of Information Technology Applications & Management 20 (3) : 219 ~ 231 dbpia [학술대회논문] - Y.S. Cho / 2012 / Implementation of Personalized Recommendation System using k-means Clustering of Item Category based on RFM / International Conference on Management of Innovation & Technology (ICMIT) google schola [학술대회논문] - S. U. Natchiar / 2014 / Customer Relationship Management Classification using Data Mining Techinques / International Conference on Science Engineering and Management Research (ICSEMR) google schola [학술지(정기간행물)] - 김형주 / 2016 / k-NN 알고리즘을 활용한 단기 교통상황 예측: 서울시 도시고속도로 사례 / 대한교통학회지 34 (2) : 158 ~ 167 dbpia

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UCI(KEPA) : I410-ECN-0101-2018-004-001757927