EcoSta 2023: Start Registration
View Submission - EcoSta2023
A1025
Title: Mining and modeling the attendance of performing arts activities Authors:  Tsung-Chi Cheng - National Chengchi University (Taiwan) [presenting]
Abstract: This research analyzes data from a survey which focuses on the related issues regarding the attendance of performing arts events in three cities located in northern Taiwan. Performing arts in Taiwan are classified into four categories: music, dance, contemporary drama, and traditional theatre. The aim is to mine patterns about how the audiences consume various types and combinations of performing arts activities through the association rule as well as identify determinants related to the event's attendance. Both the association mining approach and appropriate statistical modelling analytics are applied to achieve the purposes.