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http://dx.doi.org/10.7471/ikeee.2019.23.4.1243

Study on Prediction of Attendance Using Machine Learning  

Yoo, Ji-Hyun (Dept. of Internet Communications, Jangan University)
Publication Information
Journal of IKEEE / v.23, no.4, 2019 , pp. 1243-1249 More about this Journal
Abstract
People who gathered to enjoy a specific event or content are called audiences or spectators, and show various propensity according to the characteristics of the crowd. Although there is such a difference, in general, the number of attendance is directly related to the business aspect, which enables stable financial operation for the sale of contents through various incomes, such as the admission fee and the use of other facilities. Therefore, prediction of audience can be used as a major factor in marketing and budgeting strategies. In this study, we review several existing models for predicting the number of attendance and propose an efficient machine learning model. In addition, we studied daily attendance prediction and abnormal attendance prediction using combine DNN(Deep Neural Network) and RF(Random Forest) model.
Keywords
수요예측;머신러닝;딥러닝;랜덤포레스트;
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Times Cited By KSCI : 1  (Citation Analysis)
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