Discovery of booming and decaying Point-Of-Interest with human mobility data

Xinjiang Lu, Fei Yi, Zhiwen Yu, Bin Guo, He Du

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

By observing the Point-Of-Interests (POIs) in cities over time, we can find that some of them disappear, new ones emerge and most of them just keep alive. In this paper, we name such evolutionary process of POI as POI lifetime and the stages of POI lifetime as POI lifetime status. Specifically, when we find a POI appears/disappears by observing the online maps over time, we may say that a POI is in booming/decaying lifetime status. How to discover the booming/decaying POIs is a challenging but valuable task. To address this problem, we propose a framework leveraging the human mobility data to discover the booming and decaying POIs in urban areas. We conduct the experiments on real-world data sets. The results demonstrate that the ensemble classifier can discover the booming/decaying POIs effectively, and the human mobility factors extracted are indicative for discovering the POI lifetime status.

源语言英语
主期刊名UbiComp/ISWC 2017 - Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers
出版商Association for Computing Machinery, Inc
137-140
页数4
ISBN(电子版)9781450351904
DOI
出版状态已出版 - 11 9月 2017
活动2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and ACM International Symposium on Wearable Computers, UbiComp/ISWC 2017 - Maui, 美国
期限: 11 9月 201715 9月 2017

出版系列

姓名UbiComp/ISWC 2017 - Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers

会议

会议2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and ACM International Symposium on Wearable Computers, UbiComp/ISWC 2017
国家/地区美国
Maui
时期11/09/1715/09/17

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