By M. Tamer Özsu (auth.), Qing Li, Ling Feng, Jian Pei, Sean X. Wang, Xiaofang Zhou, Qiao-Ming Zhu (eds.)
This e-book constitutes the lawsuits of the joint foreign convention APWeb/WAIM 2009 which was once held in Suzhou, China, in the course of April 1-4, 2009.
The forty two complete papers offered including 26 brief papers and the abstracts of two keynote speeches have been conscientiously reviewed and chosen for inclusion within the e-book. the themes lined are question processing, topic-based options, net facts processing, multidimensional info research, circulation information processing, info mining and its purposes, and information administration help to complicated applications.
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Additional resources for Advances in Data and Web Management: Joint International Conferences, APWeb/WAIM 2009 Suzhou, China, April 2-4, 2009 Proceedings
However, due to the nature of discrete location updates, the KNNs of the query object within two consecutive updates are unknown. As such, IMA would return incorrect results as long as there exist some time points within two consecutive updates at which the KNNs set changes. In this paper, our eﬀorts on processing CKNN query are devoted to overcoming the limitations of the above approaches. We develop an eﬃcient method to determine the KNNs at each timestamp under the situation that all objects (including the query object) move continuously in a road network.
After depth [n, 2], R2 becomes the top 1 and R1 becomes the best competitor. ) Since n could be arbitrary large, algorithm SNRA is not an instance optimal algorithm. The reason SNRA is not instance optimal is that SNRA “selects” some of the lists instead of all the lists to sorted access. By doing this selection, SNRA may 22 J. Yuan et al. Table 8. 32) ... 32- n−i+1 ) ... 11) do fewer sorted access than NRA algorithm in most databases but may “miss” some important information in some particular databases like our example 2.
In addition, they present an alternative approach incremental network expansion (INE), which is based on generating a search region that expands from the query point. Kolahdouzan et al.  propose a solution-based approach for KNN queries in spatial networks. Their approach, called VN3 , precalculates the network Voronoi polygons (NVPs) and some network distances, and then processes the KNN queries based on the properties of the Network Voronoi diagrams. In summary, the above methods proposed for processing snapshot KNN queries in road networks are applicable to static objects.
Advances in Data and Web Management: Joint International Conferences, APWeb/WAIM 2009 Suzhou, China, April 2-4, 2009 Proceedings by M. Tamer Özsu (auth.), Qing Li, Ling Feng, Jian Pei, Sean X. Wang, Xiaofang Zhou, Qiao-Ming Zhu (eds.)