期刊文献+

城市社区建设的创新与发展 被引量:2

The Innovation and Development of the Construction of the Urban Community
下载PDF
导出
摘要 论述了城市社区建设的基本理论,探讨了城市社区建设面临的机遇和考验,提出社区建设应遵循的基本策略。 This paper discusses on the basic theories of the construction of the urban community, probes into the opportunities and challenges faced by the construction of the urban communities, and puts forward some basic strategies that should be followed in the construction of the community.
作者 张惠东
出处 《科技情报开发与经济》 2005年第24期62-63,共2页 Sci-Tech Information Development & Economy
关键词 城市社区 社区建设 基本理论 基本策略 创新 urban community construction of community basic theory basic strategy innovation
  • 相关文献

参考文献4

二级参考文献20

  • 1[1]CHEN M S, HAN Jia-wei, YU P S. Data mining: an overview from a database perspective [ J ]. IEEE Trans on Knowledge and Data Engineering, 1996, 9 (6):866-883.
  • 2夏勇,王丽珍,胥林芳,等.基于本体及语义贴近度的面向属性归纳[J].云南大学学报(自然科学版),2002,24(6A):137-141.
  • 3SHEKHAR S, LU C T, ZHANG P. Detecting Graphbased spatial outliers: Algorithm and application [EB/OL]. http://www. cs. umn. edu/Researeh/shashigroup, 2001-08-30.
  • 4KNORR E, NG R. Algorithm for mining distance based outliers in large databases [A]. Proc 24th VLDB Con[C]. New York, USA, 1998. 392-403.
  • 5BARNETT V, LEWIS T. Outliers in statistical data[M]. New York: John Wiley, 1994.
  • 6RUTS I, ROUSSEEUW P. Computing depth conturs of bivariate point clouds [J]. Computational Statistics and Data Analysis, 1996, 23:153-168.
  • 7KNORR E M, NG R T. Algorithms for mining distance-based outliers in large databasets[A]. Proceeding of the 24^th VLDB Conference[C]. New York: VLDB Endowment, 1998. 392-403.
  • 8MARKUS M B, Hans-Peter Kriege. LOF: identifying density-based locak outliers[A]. Proc ACM SIGMOD 2000 Int. Conf[C]. 1999, 125-132.
  • 9WEN Jin, ANTHONY K H. Mining Top-n locak outliers in large database[A]. KDD2001 San Francisco[C], California, USA. 2000, 78-84.
  • 10Chen M S,IEEE Trans Knowledge Data Engineering,1996年,8卷,6期,866页

共引文献29

同被引文献35

引证文献2

二级引证文献16

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部