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The Association Rule Mining on a Survey Data for Culture Industry

机译:关联规则挖掘文化产业调查数据

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Recently, culture industry has been attached a great importance by Chinese government It has been viewed as a new economic growth point. This paper first applies Apriori association rule algorithm on a survey data to analyze the affecting factors about participation, recognition and satisfaction of residents to cultural activities. Then, some suggestions are given to make decision support for government. The mining results show that the main factors to culture industry are the income, occupation, and education background- To improve participation, recognition and satisfaction of residents to cultural activities, government should improve residents' living standard and education background firstly. In addition, providing different cultural activities for different types of residents must be also considered.
机译:最近,文化产业已被中国政府一直非常重视,它已被视为新的经济增长点。本文首先在调查数据上应用Apriori关联规则算法,以分析关于参与,居民的参与,认可和满足于文化活动的影响因素。然后,有一些建议是对政府做出决定支持。矿业结果表明,文化行业的主要因素是收入,职业和教育背景 - 改善居民参与,认可和满足文化活动,政府应该先改善居民的生活水平和教育背景。此外,还必须考虑为不同类型居民提供不同的文化活动。

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