Exploring the wild birds' migration data for the disease spread study of h5n1: a clustering and association approach
文献类型：期刊论文
| 作者 | 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
 |
| 出版日期 | 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 |
| WOS记录号 | WOS:000289562400004 |
| 出版者 | SPRINGER LONDON LTD |
| URI标识 | http://www.irgrid.ac.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. |
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