運用大數據分析電影票房的影響因素以探討臺灣票房與大陸票房之關聯

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Title:	運用大數據分析電影票房的影響因素以探討臺灣票房與大陸票房之關聯 Using Big Data to Analyze the Important Factors of Movie Box Office to Explore the Relationship between Taiwan and Mainland Box Offices
Authors:	邱爽
Contributors:	資訊管理學系
Keywords:	電影票房資料探勘關聯規則挖掘 movie box office data mining association rule mining
Date:	2019
Issue Date:	2019-09-18 14:15:28 (UTC+8)
Abstract:	隨著人們生活水平的提高，越來越多的人進入電影院欣賞電影，看電影已經成為人們娛樂生活中必不可少的一部分。大陸經濟發展帶動了電影產業的蓬勃發展。大陸已經躍居成為繼美國之後的第二大電影市場，如此龐大的電影市場，如若院線上映前能預測即將上映電影的趨勢，那麼對投資方將是非常有利的。台灣電影市場與大陸電影市場相似，上映的電影較大陸會提前7-25天，如若能找出台灣票房與大陸票房之關聯，那麼針對大陸即將上映的電影院線可以做出不同的對策。本研究運用資料探勘來研究電影票房的影響因素並加以預測。運用到的方法為關聯規則挖掘，首先找出台灣電影票房的影響因素，再探討台灣電影票房與大陸電影票房之關聯性，最後通過實驗，如果一部電影在台灣獲得高票房那麼在之後大陸上映時獲得高票房的概率較大。 With the improvement of people's living standards, more and more people enter the cinema to enjoy movies. Watching movies has become an indispensable part of people's entertainment life. The economic development of China has driven the vigorous development of the film industry. China has already become the second largest film market after the United States. Such a huge film market, if the theater can predict the trend of upcoming movies, will be very beneficial to investors. The Taiwanese film market is similar to Chinese film market. The film released in Taiwan will be 7-25 days earlier than China. If we can find the correlation between the Taiwanese movie box office and Chinese movie box office, then the investor can make corresponding strategies for the upcoming movie in China. This study used data exploration to study and influence the factors affecting the box office of the movie. The method used is to mine association rules. Firstly, find out the influencing factors of Taiwanese box office, and then explore the connection between Taiwanese box office and Chinese movie box office. Finally, through experiments, if a movie gets a high box office in Taiwan, when it released in China, it will have 82% possibility get a high box office.
Appears in Collections:	[Department of Information Management & Graduate Institute of Information Management] Thesis

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