| 基于随机序列GPS数据集的用户位置挖掘方法研究 |
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| 引用本文： | 朱熙,赵礼剑,王铁军.基于随机序列GPS数据集的用户位置挖掘方法研究[J].地理信息世界,2018(2):113-116,121. |
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| 作者姓名： | 朱熙 赵礼剑 王铁军 |
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| 作者单位： | 国家测绘地理信息局 重庆测绘院,重庆,401121 |
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| 基金项目： | 国家基础测绘科技与标准计划(2018KJ0300)，国家测绘地理信息局青年学术和技术带头人科技活动[测人函(2017)77号]资助 |
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| 摘 要： | 数据挖掘是指从大规模的数据中抽取非平凡的、隐含的、未知的、有潜在使用价值信息的过程。LBS系统记录了大量的移动端用户在真实世界中的空间和时间属性,如果能从这些记录中挖掘出移动端用户的常用位置信息及其特点,可以使我们更好地理解用户,更好地为用户服务。本文根据LBS系统记录的移动端用户位置信息,利用改进的DBSCAN聚类算法,较为准确地提取移动端用户的常用位置信息,并通过实例验证该方法的可靠性。
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| 关 键 词： | 信息处理技术 数据挖掘 位置服务 聚类 information processing technology data mining Location Based Services(LBS) clustering |
Study on Mining Method for User Location Based on the Random Sequence GPS Dataset |
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| ZHU Xi,ZHAO Lijian,WANG Tiejun.Study on Mining Method for User Location Based on the Random Sequence GPS Dataset[J].Geomatics World,2018(2):113-116,121. |
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| Authors: | ZHU Xi ZHAO Lijian WANG Tiejun |
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| Abstract: | Data mining refers to the process to extract non-trivial, implied, unknown and potentially useful information from the large-scale data. The LBS system records a lot of space and time attributes of the mobile end users in the real world. If the common location information and its characteristics of mobile terminal users can be dig out from these records, it will help us make a better understanding of the users, and then provide better services for the customers. Based on the LBS system records, this paper improves the DBSCAN clustering algorithm to extract the commonly used location information, and verifies the reliability of the method through practical examples. |
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| 本文献已被 CNKI 万方数据 等数据库收录！ |
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