| 本文已被：浏览 4860次 下载 6168次 |
码上扫一扫！ |
|
|
| 基于聚类的位置数据库动态重组 |
|
马帅1, 王腾蛟1,2, 唐世渭1,2, 杨冬青1, 高军1
|
|
1.北京大学,计算机科学技术系,北京,100871;2.北京大学,视觉与听觉信息处理国家重点实验室,北京,100871
|
|
| 摘要: |
| 在无线移动计算环境中,如何合理地组织和存储移动对象(mobile object)的配置信息从而有效地降低查询和更新代价是位置管理(location management)中的一个重要问题.将数据挖掘应用到移动计算环境中是一项具有挑战性的研究课题,具有广阔的应用前景.从数据挖掘的角度出发,提出了一种优化位置数据库的解决方案.首先采用一种新的层次聚类算法对移动日志聚类,然后根据聚类的结果对位置数据库动态重组,从而有效地降低了查询和更新代价. |
| 关键词: 聚类 数据挖掘 位置管理 移动对象 位置数据库 |
| DOI： |
| 分类号: |
| 基金项目:Supported by the National High-Tech Research and Development Plan of China under Grant No.2002AA4Z3440 (国家高技术研究发展计划); the National Grand Fundamental Research 973 Program of China under Grant No.G1999032705 (国家重点基础研究发展规划(973)); the Foundation of the Innova |
|
| Dynamic Reorganization of Location Databases Based on Clustering |
|
MA Shuai,WANG Teng-Jiao,TANG Shi-Wei,YANG Dong-Qing,GAO Jun
|
| Abstract: |
| How to effectively organize and store the profile of moving objects in a mobile environment, which can effectively lower the paging and update cost, is an important problem in location management. Combining data mining into a mobile environment is a challenging research task, which has broad prospective applications. In this paper, a solution is provided to optimize the placement of location databases from the aspect of data mining. First a new hierarchical clustering algorithm is presented to cluster the moving log, then use the clustering results to dynamically reunite location databases, thus the paging and update cost can be lowered effectively. |
| Key words: clustering data mining location management mobile object location database |
