目的:了解城乡社区老年人兴趣爱好和心理健康水平,探讨城乡社区老年人兴趣爱好与心理健康的关系。方法:采用整群抽样的方法选择了合肥市杏花社区、宿州市华地社区、宿州市杨套村和光明村,采用面对面的方式问卷调查≥60岁的老年人。调查...目的:了解城乡社区老年人兴趣爱好和心理健康水平,探讨城乡社区老年人兴趣爱好与心理健康的关系。方法:采用整群抽样的方法选择了合肥市杏花社区、宿州市华地社区、宿州市杨套村和光明村,采用面对面的方式问卷调查≥60岁的老年人。调查工具包括自拟的一般情况问卷和一般健康问卷(General Health Questionnaire,GHQ-12)。使用SPSS13.0进行描述性统计分析和多元logistic回归分析。结果:实际调查到851名老年人,GHQ-12阳性检出率为37.13%;主要的兴趣爱好是看电视(74.21%),其次是经常散步(71.56%)、体育锻炼(22.80%)和打牌(15.75%);有兴趣爱好的调查对象出现心理问题的可能性是没有兴趣爱好的0.55倍(P<0.001)。结论:加大社区公共基础设施建设,增强社区情感交流和娱乐的功能,丰富老年人的兴趣爱好,有助于提高老年人的心理健康水平。展开更多
Web-log contains a lot of information related with user activities on the Internet. How to mine user browsing interest patterns effectively is an important and challengeable research topic. On the analysis of the pres...Web-log contains a lot of information related with user activities on the Internet. How to mine user browsing interest patterns effectively is an important and challengeable research topic. On the analysis of the present algorithm’s advantages and disadvantages we propose a new concept: support-interest. Its key insight is that visitor will backtrack if they do not find the information where they expect. And the point from where they backtrack is the expected location for the page. We present User Access Matrix and the corresponding algorithm for discovering such expected locations that can handle page caching by the browser. Since the URL-URL matrix is a sparse matrix which can be represented by List of 3-tuples, we can mine user preferred sub-paths from the computation of this matrix. Accordingly, all the sub-paths are merged, and user preferred paths are formed. Experiments showed that it was accurate and scalable. It’s suitable for website based application, such as to optimize website’s topological structure or to design personalized services. Key words Web Mining - user preferred path - Web-log - support-interest - personalized services CLC number TP 391 Foundation item: Supported by the National High Technology Development (863 program of China) (2001AA113182)Biography: ZHOU Hong-fang (1976-), female.Ph. D candidate, research direction: data mining and knowledge discovery in databases.展开更多
文摘目的:了解城乡社区老年人兴趣爱好和心理健康水平,探讨城乡社区老年人兴趣爱好与心理健康的关系。方法:采用整群抽样的方法选择了合肥市杏花社区、宿州市华地社区、宿州市杨套村和光明村,采用面对面的方式问卷调查≥60岁的老年人。调查工具包括自拟的一般情况问卷和一般健康问卷(General Health Questionnaire,GHQ-12)。使用SPSS13.0进行描述性统计分析和多元logistic回归分析。结果:实际调查到851名老年人,GHQ-12阳性检出率为37.13%;主要的兴趣爱好是看电视(74.21%),其次是经常散步(71.56%)、体育锻炼(22.80%)和打牌(15.75%);有兴趣爱好的调查对象出现心理问题的可能性是没有兴趣爱好的0.55倍(P<0.001)。结论:加大社区公共基础设施建设,增强社区情感交流和娱乐的功能,丰富老年人的兴趣爱好,有助于提高老年人的心理健康水平。
文摘Web-log contains a lot of information related with user activities on the Internet. How to mine user browsing interest patterns effectively is an important and challengeable research topic. On the analysis of the present algorithm’s advantages and disadvantages we propose a new concept: support-interest. Its key insight is that visitor will backtrack if they do not find the information where they expect. And the point from where they backtrack is the expected location for the page. We present User Access Matrix and the corresponding algorithm for discovering such expected locations that can handle page caching by the browser. Since the URL-URL matrix is a sparse matrix which can be represented by List of 3-tuples, we can mine user preferred sub-paths from the computation of this matrix. Accordingly, all the sub-paths are merged, and user preferred paths are formed. Experiments showed that it was accurate and scalable. It’s suitable for website based application, such as to optimize website’s topological structure or to design personalized services. Key words Web Mining - user preferred path - Web-log - support-interest - personalized services CLC number TP 391 Foundation item: Supported by the National High Technology Development (863 program of China) (2001AA113182)Biography: ZHOU Hong-fang (1976-), female.Ph. D candidate, research direction: data mining and knowledge discovery in databases.
