数据挖掘在河北省农村居民总体满意度调查中的应用

在对大量资料、相关论文和实践成果进行分析研究以及对河北省新农村建设、新民居建设进行问卷调查和实地调研的基础上,应用数据挖掘中的CART算法对河北省农村居民问卷信息进行建模,具体分析了河北省农村居民总体满意度情况以及影响河北省农村居民满意度的因素。分析结果显示:新民居建设试点村居民满意度较高,其中满意度最高的人群是居住类型为自建小楼或者政府统一建造居民区的农村居民,而不满意度高的人群主要是非试点村居民中对于收入等因素不满意者。影响河北省农村居民满意度的因素中,按重要程度分主要是收入、社会风气、居住环境及领导作风;文化水平等因素对于满意度高低也有影响,文化程度较高的和较低的农村居民,其满意度高于文化程度中等的人群。

The Application of Data Mining in Overall Satisfaction Survey of Rural Residents in Hebei Province

Based on the analytical research on large amounts of recourses,related papers and practice achievements and the questionnaire survey and on-the-spot investigation on the new countryside construction and new residence construction in Hebei Province,this paper sets up the model according to the questionnaire information of rural inhabitants in Hebei Province and by suing CART algorithm in data mining,and makes the concrete analysis on the overall satisfaction of rural residents in Hebei Province and some factors influencing the satisfaction of rural residents in Hebei Province.Analysis results show that,the residents in the pilot villages of new residence construction have higher satisfaction,and the residents living in self-built houses and government-uniformly-built residential areas have the highest satisfaction,and the residents having the lowest satisfaction mainly live in the non-pilot villages and don＇t satisfy with income and other factors.Among the factors（listed in order of importance） affecting the satisfaction of rural residents in Hebei Province are mainly the income,social morality,living environment and leadership style.In addition,the educational level and other factors also have some influences on the satisfaction,the satisfaction of rural residents with higher and lower educational levels is higher than that of the rural residents with medium educational level.