QQ客服 官方微博 反馈留言

	Exploring the wild birds' migration data for the disease spread study of h5n1: a clustering and association approach
	Tang, Mingjie1,3; Zhou, Yuanchun1; Li, Jinyan4; Wang, Weihang1,3; Cui, Peng2,3; Hou, Yuanseng5; Luo, Ze1; Li, Jianhui1; Lei, Fuming2; Yan, Baoping1
刊名	Knowledge and information systems
	2011-05-01
卷号	27期号:2页码:227-251
关键词	Clustering Sequence mining Bird migration Habitat Route H5n1 Qinghai lake
ISSN号	0219-1377
DOI	10.1007/s10115-010-0308-x
通讯作者	Zhou, yuanchun(zyc@cnic.cn)
英文摘要	Knowledge about the wetland use of migratory bird species during the annual life circle is very interesting to biologists, as it is critically important in many decision-making processes such as for conservation site construction and avian influenza control. the raw data of the habitat areas and the migration routes are usually in large scale and with high complexity when they are determined by high-tech gps satellite telemetry. in this paper, we convert these biological problems into computational studies and introduce efficient algorithms for the data analysis. our key idea is the concept of hierarchical clustering for migration habitat localizations, and the notion of association rules for the discovery of migration routes from the scattered location points in the gis. one of our clustering results is a tree structure, specially called spatial-tree, which is an illusive map depicting the breeding and wintering home range of bar-headed geese. a related result to this observation is an association pattern that reveals a high possibility that bar-headed geese's potential autumn migration routes are likely between the breeding sites in the qinghai lake, china and the wintering sites in tibet river valley. given the susceptibility of geese to spread h5n1, and on the basis of the chronology and the rates of the bar-headed geese migration movements, we can conjecture that bar-headed geese play an important role in the spread of the h5n1 virus at a regional scale in qinghai-tibetan plateau.
WOS关键词	INFLUENZA-VIRUS ; FREQUENT ; INFECTION ; QINGHAI ; LINEAGE ; GEESE ; CHINA
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Information Systems
语种	英语
出版者	SPRINGER LONDON LTD
WOS记录号	WOS:000289562400004
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2374131
专题	计算机网络信息中心
通讯作者	Zhou, Yuanchun
作者单位	1.Chinese Acad Sci, Comp Network Informat Ctr, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Zool, Beijing, Peoples R China 3.Chinese Acad Sci, Grad Univ, Beijing, Peoples R China 4.Nanyang Technol Univ, Sch Comp Engn, Singapore, Singapore 5.Bur Qinghai Lake Natl Nat Reserve, Xining, Qinghai, Peoples R China
推荐引用方式 GB/T 7714	Tang, Mingjie,Zhou, Yuanchun,Li, Jinyan,et al. Exploring the wild birds' migration data for the disease spread study of h5n1: a clustering and association approach[J]. Knowledge and information systems,2011,27(2):227-251.
APA	Tang, Mingjie.,Zhou, Yuanchun.,Li, Jinyan.,Wang, Weihang.,Cui, Peng.,...&Yan, Baoping.(2011).Exploring the wild birds' migration data for the disease spread study of h5n1: a clustering and association approach.Knowledge and information systems,27(2),227-251.
MLA	Tang, Mingjie,et al."Exploring the wild birds' migration data for the disease spread study of h5n1: a clustering and association approach".Knowledge and information systems 27.2(2011):227-251.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。