交通信息服務(wù)系統(tǒng)是智能交通系統(tǒng)的重要組成部分，本文針對(duì)交通信息服務(wù)系統(tǒng)中存在的模糊地名匹配問題，研究了空間數(shù)據(jù)挖掘方法中聚類分析方法，并提出了基于CURE 聚類方法的模糊地名匹配模型和算法。最后以廣州市電子地圖為例，對(duì)本文提出的算法進(jìn)行了驗(yàn)證，實(shí)驗(yàn)證明采用該算法可以有效的提高空間信息的檢索速度和模糊地名匹配效率。
關(guān)鍵詞：交通信息服務(wù)系統(tǒng)；空間數(shù)據(jù)挖掘；聚類分析；模糊地名匹配
Abstract Travel Information Service Systems is one of important part of Intelligent Transportation System, In order to solve the problem of fuzzy place name matching in Travel Information Service Systems, The research of cluster analysis in spatial data mining methods was studied, and proposed a model and algorithm for fuzzy place name matching based on CURE clustering method. Finally, We verify the algorithm of this paper based on Guangzhou electronic map, the experiment proved that it can effectively improve the speed of spatial information retrieval and fuzzy place name matching rate.
Keywords Travel Information Service Systems； Spatial Data mining; Cluster Analysis；Fuzzy Place Name Matching