城市计算中的显露模式分析方法研究

Research of Emerging Pattern Analysis Method Based on Urban Computing

城市计算中可以利用显露模式分析方法挖掘数据中的显露模式,但城市数据往往是多源异构数据,难于集成在一张表中分析。论文设计了一种显露模式分析算法,并针对城市数据多源异构问题,如兴趣点数据,GPS数据,公交数据等分别提出了不同转换方法,使得城市数据可以有效融合在一张表中以便于使用显露模式分析。实验表明该方法对城市计算中的显露模式分析是有效的。

Emerging pattern analysis method can be used to mine the emerging pattern in urban data,but urban data is multi-source heterogeneous data,it is difficult to integrate into a single table for analysis.In this paper,an algorithm for analysis of emerging pattern is designed and multi-source heterogeneous urban data,such as POI(Point of Interest)data,GPS data and bus data,different conversion methods are proposed,so that urban data can be effectively integrated into a table for emerging pattern analysis.Experiments show that this method is effective for the analysis of emerging pattern in urban computing.