Discovering Seasonal Patterns of Smoking Behavior Using Online Search Information

doi:10.1109/ISI.2013.6578861

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 平行智能技术与系统团队

	Discovering Seasonal Patterns of Smoking Behavior Using Online Search Information
	Zhang, Zhu1 ; Zheng, Xiaolong1,2 ; Zeng, Daniel Dajun1,3 ; Cui, Kainan 4; Luo, Chuan 1; He, Saike1 ; Leischow, Scott 5
	2013
会议名称	2013 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENCE AND SECURITY INFORMATICS: BIG DATA, EMERGENT THREATS, AND DECISION-MAKING IN SECURITY INFORMATICS
会议录名称	IEEE International Conference on Intelligence and Security Informatics (ISI)
页码	371-373
会议日期	2013
会议地点	Seattle, Washington, USA
摘要	Discovering temporal patterns and changes in tobacco use has important practical implications in tobacco control. This paper presents one of the first comprehensive international studies of seasonal smoking patterns based on online searches performed. Using periodogram and crosscorrelation, we find that smoking-related search behavior shows strong seasonality effect across countries. In addition, there are significant pairwise associations between such seasonality in different countries.
关键词	Behavior Informatics Search Behavior Smoking Seasonality
DOI	10.1109/ISI.2013.6578861
URL	查看原文
收录类别	EI
语种	英语
引用统计
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/5086
专题	多模态人工智能系统全国重点实验室_平行智能技术与系统团队
通讯作者	Zhang, Zhu
作者单位	1.The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences 2.Dongguan Research Institute of CASIA, Cloud Computing Center, Chinese Academy of Sciences 3.Department of Management Information Systems, The University of Arizona 4.The School of Electronic and Information Engineering, Xi'an Jiaotong University 5.Mayo Clinic in Arizona
第一作者单位	中国科学院自动化研究所
通讯作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Zhang, Zhu,Zheng, Xiaolong,Zeng, Daniel Dajun,et al. Discovering Seasonal Patterns of Smoking Behavior Using Online Search Information[C],2013:371-373.

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