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http://dx.doi.org/10.9728/dcs.2018.19.1.27

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

Park, So-Hyun (Department of IT Engineering, Sookmyung Women's University)
Ihm, Sun-Young (Department of Big Data Research Center, Sookmyung Women's University)
Park, Young-Ho (Department of IT Engineering, Sookmyung Women's University)
Publication Information
Journal of Digital Contents Society / v.19, no.1, 2018 , pp. 27-33 More about this Journal
Abstract
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.
Keywords
Big Data Analytics; K-Means Clustering; K-NN; Machine Learning Algorithm; Sport Marketing;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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