CoPFun: an urban co-occurrence pattern mining scheme based onregional function discovery,
文献类型：期刊论文
| 作者 | Xiangjie Kong; Menglin Li; Jianxin Li; Kaiqi Tian; Xiping Hu; Feng Xia |
| 刊名 | WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS
 |
| 出版日期 | 2018 |
| 文献子类 | 期刊论文 |
| 英文摘要 | Analysis of mobile big data enables smart cities from aspects of traffic pattern, human mobility, air quality, and so on. Co-occurrence pattern in human mobility has been proposed in recent years and sparked high attentions of academia and industry. Co-occurrence pattern has shown enormous values in aspects of urban planning, business, and social applications, such as shopping mall promotion strategy making, and contagious disease spreading. What’s more, human mobility has strong relation with regional functions, because each urban region owns a major function to offer specialized services for city’s operations and such location-based services attract massive passenger flow, which is exactly the essence of urban human mobility pattern. Therefore, in this paper, we put forward a co-occurrence pattern mining scheme (CoPFun) based on regional function discovery utilizing various mobile data. First, we do traffic modeling to map trajectory data into population groups, which include temporal partition and map segmentation. Then we employ a frequent pattern mining algorithm to mine co-occurrence event data. Meanwhile, we exploit TF-IDF method to process POI data and LDA algorithm to process trajectory data to discover urban regional functions. We apply CoPFun to real mobile data to extract co-occurrence event data and compare it with OD data to analyze urban co-occurrence pattern from a perspective of regional functions. The experiment results verify the effectiveness of CoPFun. |
| URL标识 | 查看原文 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/13575]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 推荐引用方式 GB/T 7714 | Xiangjie Kong,Menglin Li,Jianxin Li,et al. CoPFun: an urban co-occurrence pattern mining scheme based onregional function discovery,[J]. WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS ,2018. |
| APA | Xiangjie Kong,Menglin Li,Jianxin Li,Kaiqi Tian,Xiping Hu,&Feng Xia.(2018).CoPFun: an urban co-occurrence pattern mining scheme based onregional function discovery,.WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS . |
| MLA | Xiangjie Kong,et al."CoPFun: an urban co-occurrence pattern mining scheme based onregional function discovery,".WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS (2018). |
入库方式： OAI收割
来源：深圳先进技术研究院
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