一种网络空间现象同位模式挖掘的新方法
A New Method for Mining Co-location Patterns Between Network Spatial Phenomena
-
摘要: 同位模式的挖掘是空间数据挖掘领域关注的热点问题。目前,对于网络空间现象同位模式挖掘的研究较少。本文将欧氏空间已有方法扩展至网络空间,该方法由两个核心步骤组成:①通过对网络进行划分定义同位腜停范ㄍ止叵担虎诙酝止叵到型臣仆贫先范ㄆ涫欠裎荒J健6陨钲谑兄圃煲倒镜耐荒J酵诰蚪辛朔椒ㄋ得鳎谰菁劬醚е械贾虏导鄣娜只贫哉庑┩荒J浇辛硕ㄐ苑治觯ü胍延蟹椒ǖ谋冉弦约巴纾撕募煅檠橹ち吮疚姆椒ǖ挠行浴€Abstract: The mining of co-location patterns is a hot issue in the field of spatial data mining.Howev-er,a little attention has been paid to the co-location patterns between network spatial phenomena.This paper extends an existing approach to mining the co-location patterns between network spatialphenomena.The approach consists of two core stages:①ｄｅｆｉｎｉｎｇ ａ ｃｏ－ｌｏｃａｔｉｏｎ ｍｏｄｅｌ ｔｏ ｈａｖｅ ｃｏ－ｏｃ－ｃｕｒｒｅｎｃｅ ｒｅｌａｔｉｏｎｓ ｂｙ ｐａｒｔｉｔｉｏｎｉｎｇ ｔｈｅ ｎｅｔｗｏｒｋ；②ｃｏｍｐｕｔｉｎｇ ｔｈｅ ｓｔａｔｉｓｔｉｃａｌ ｄｉａｇｎｏｓｔｉｃｓ ｆｏｒ ｔｈｅｓｅ ｃｏ－ｏｃ－ｃｕｒｒｅｎｃｅ ｒｅｌａｔｉｏｎｓ．Ｔｈｅ ａｐｐｒｏａｃｈ ｈａｓ ｂｅｅｎ ａｐｐｌｉｅｄ ｔｏ ａ ｃａｓｅ ｓｔｕｄｙ，ｗｈｉｃｈ ｄｅａｌｔ ｗｉｔｈ ｔｈｅ ｍｉｎｉｎｇ ｏｆ ｔｈｅｃｏ－ｌｏｃａｔｉｏｎ ｐａｔｔｅｒｎｓ ｏｆ ｍａｎｕｆａｃｔｕｒｉｎｇ ｆｉｒｍｓ ｉｎ Ｓｈｅｎｚｈｅｎ Ｃｉｔｙ，Ｃｈｉｎａ．Ｔｈｅ ｃｏ－ｌｏｃａｔｉｏｎ ｐａｔｔｅｒｎｓ ｈａｖｅｂｅｅｎ ａｎａｌｙｚｅｄ ｑｕａｌｉｔａｔｉｖｅｌｙ ａｃｃｏｒｄｉｎｇ ｔｏ ｔｈｅ ｔｈｒｅｅ ｍｅｃｈａｎｉｓｍｓ ｄｅｒｉｖｅｄ ｆｒｏｍ ａｇｇｌｏｍｅｒａｔｉｏｎ ｅｃｏｎｏｍｉｃｓ．Ｔｈｅ ｖａｌｉｄａｔｉｏｎ ｏｆ ｔｈｅ ａｐｐｒｏａｃｈ ｈａｓ ｂｅｅｎ ｖｅｒｉｆｉｅｄ ｂｙ ｔｈｅ ｃｏｍｐａｒｉｓｏｎ ｗｉｔｈ ｔｈｅ ｅｘｉｓｔｉｎｇ ｍｅｔｈｏｄ ａｎｄ ｔｈｅｎｅｔｗｏｒｋ ｃｒｏｓｓ Ｋ－ｆｕｎｃｔｉｏｎ．
下载:
