Forecasting the rise and fall of volatile point-of-interests

Xinjiang Lu, Zhiwen Yu, Chuanren Liu, Yanchi Liu, Hui Xiong, Bin Guo

科研成果: 书/报告/会议事项章节会议稿件同行评审

3 引用 (Scopus)

摘要

Volatile Point-of-Interests (vPOIs) refer to those small businesses which appear and disappear quickly in cities. How to maintain and incubate small business in the urban area is a big concern for both business owners and government administrators. Therefore, the prediction task for the rise and fall of vPOIs is valuable for both shopkeepers and administrators by supporting a variety of applications in urban economics. In this paper, we propose a framework, named FRFP, to predict the prosperity of vPOIs over time. Specifically, due to the data sparsity and skewness of the individual vPOIs, we first aggregate vPOIs prosperities at focal areas w.r.t. each vPOI category. Then we develop the dynamic-continuous CRF (DC-CRF) model to integrate the association between input and output as well as the correlations between outputs from temporal, spatial and contextual perspectives. Finally, we conduct empirical experiments on real-world data from Google Maps and NYC OpenData. The evaluation results demonstrate that our proposed approach outperforms baseline algorithms with considerable margins. In addition, we explore the predictability of different explanatory variables and provide actionable insights for both shopkeepers and urban planners.

源语言英语
主期刊名Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017
编辑Jian-Yun Nie, Zoran Obradovic, Toyotaro Suzumura, Rumi Ghosh, Raghunath Nambiar, Chonggang Wang, Hui Zang, Ricardo Baeza-Yates, Ricardo Baeza-Yates, Xiaohua Hu, Jeremy Kepner, Alfredo Cuzzocrea, Jian Tang, Masashi Toyoda
出版商Institute of Electrical and Electronics Engineers Inc.
1307-1312
页数6
ISBN(电子版)9781538627143
DOI
出版状态已出版 - 1 7月 2017
活动5th IEEE International Conference on Big Data, Big Data 2017 - Boston, 美国
期限: 11 12月 201714 12月 2017

出版系列

姓名Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017
2018-January

会议

会议5th IEEE International Conference on Big Data, Big Data 2017
国家/地区美国
Boston
时期11/12/1714/12/17

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