政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/151246

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政大機構典藏 > 商學院 > 統計學系 > 期刊論文 > Item 140.119/151246

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题名:	Mining and Modeling both Association Patterns and Determinants for the Attendance of Performing Arts Activities
作者:	鄭宗記;黃佳慧 Cheng, Tsung-Chi;Huang, Chia-Hui
贡献者:	統計系
关键词:	Association rule mining;audience characteristics;log-linear regression model;multivariate probit regression model;performing arts attendance;univorous-omnivorous framework
日期:	2024-04
上传时间:	2024-05-24 11:00:43 (UTC+8)
摘要:	The literature has explored related issues about the audience of performing arts activities with empirical investigations using various analytical approaches in different countries. Certain studies have concentrated on the univorous-omnivorous framework, aiming to examine if people participate in a wide range of performing arts genres or if they exhibit a more distinct preference for a specific type, while others explore what factors may influence individuals’ participation in different types of performing arts activities. This paper analyzes data from a survey that focuses on related issues about 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 theater. We mine patterns about how the audiences consume various type combinations of performing arts events through the association rule as well as identify determinants related to events’ attendances. Both the association mining approach and appropriate statistical modeling analytics are applied to achieve said purposes.
關聯:	Measurement: Interdisciplinary Research and Perspectives, pp.1-19
数据类型:	article
DOI 連結:	https://doi.org/10.1080/15366367.2024.2330297
DOI:	10.1080/15366367.2024.2330297
显示于类别:	[統計學系] 期刊論文

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