摘要
采用K-Means快速聚类法、序列关联规则、贝叶斯网络、QUEST决策树、C&R决策树、CHAD决策树、支持向量机(SVM)和神经网络等数据挖掘技术,对西安市城镇居民体育消费入户调查数据进行了实证分析。研究表明,衣、食、住、行等生存型消费支出仍然是目前西安市城镇居民最主要的支出,作为发展与享受型消费的体育消费支出在西安市城镇居民的日常消费支出中所占比例仍然处于较低水平,衣食住行,教育,储蓄等消费支出与体育消费支出之间存在明显地关联性特征;西安市城镇居民的体育消费项目具有多元化特点,仍处于由实物型体育消费向参与型体育消费和观赏型体育消费的过渡阶段,购买体育服装、鞋、帽,购买体育健身器材和接受专业的健身指导之间存在明显地关联性特征;西安市不同体育消费水平的城镇居民在人口特征、体育心理趋向性和体育生活方式等变量中表现出不同典型特征。
In this paper, using the K-Means quick clustering method, sequence association rules, Bayesian network, QUEST decision tree, C＆R decision tree, CHAD decision tree, support vec- tor machine （SVM） and neural network data mining techniques, such as the QUEST for Xi＇ an urban residents sports consumption household survey data for empirical analysis. The result shows that food, clothing, shelter and line etc. Necessity consumer spending is still the main spending of Xi＇an urban residents. As a development and consumption of enjoyment in Xi＇ an urban residents, sports consumption expenditure of daily consumer spending is still in a low level, the proportion of food and clothing live line, education, saving and other consumer spend- ing and sports consumption expenditure significantly correlation between characteristic; Xi ＇an urban residents sports consumption of the project have the characteristics of diversity, is still in the by material object to participating sports consumption and sports consumption and orna- mental type transition stage of the sports consumption, buy sports clothing, shoes, caps, sports fitness equipment purchase and accept the professional fitness instructor obviously correlation between characteristic;Xi＇an sports consumption levels of urban residents in different popula- tion characteristics, sports psychological trends and lifestyle variables show the different char- acteristic.
出处
《体育科学》
CSSCI
北大核心
2013年第9期22-28,共7页
China Sport Science
基金
国家社会科学基金资助项目(10BTY018)
(12BTY028)
关键词
城镇居民
体育消费
统计研究
西安市
data mining
urban residents
sports consumption
statistical research
Xi ＇ an
