 |
English
|
正體中文
|
简体中文
|
Post-Print筆數 : 27 |
Items with full text/Total items : 113656/144643 (79%)
Visitors : 51716172
Online Users : 609
|
|
|
Loading...
|
Please use this identifier to cite or link to this item:
https://nccur.lib.nccu.edu.tw/handle/140.119/75989
|
| Title: | Dynamic skylines considering range queries |
| Authors: | Wang, W.-C.;Wang, E.T.;Chen, Arbee L. P.
陳良弼 |
| Contributors: | 資科系 |
| Keywords: | Data points;Dynamic skyline query;Efficient algorithm;Grid index;Nearest neighbors;One dimension;Range queries;Range query;Z-order curve;Algorithms;Database systems;Experiments;Search engines |
| Date: | 2011 |
| Issue Date: | 2015-06-22 14:02:38 (UTC+8) |
| Abstract: | Dynamic skyline queries are practical in many applications. For example, if no data exist to fully satisfy a query q in an information system, the data "closer" to the requirements of q can be retrieved as answers. Finding the nearest neighbors of q can be a solution; yet finding the data not dynamically dominated by any other data with respect to q, i.e. the dynamic skyline regarding q can be another solution. A data point p is defined to dynamically dominate another data point s, if the distance between each dimension of p and the corresponding dimension of q is no larger than the corresponding distance regarding s and q and at least in one dimension, the corresponding distance regarding p and q is smaller than that regarding s and q. Some approaches for answering dynamic skyline queries have been proposed. However, the existing approaches only consider the query as a point rather than a range in each dimension, also frequently issued by users. We make the first attempt to solve a problem of computing dynamic skylines considering range queries in this paper. To deal with this problem, we propose an efficient algorithm based on the grid index and a novel variant of the well-known Z-order curve. Moreover, a series of experiments are performed to evaluate the proposed algorithm and the experiment results demonstrate that it is effective and efficient. © 2011 Springer-Verlag. |
| Relation: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Volume 6588 LNCS, Issue PART 2, 2011, Pages 235-250, 16th International Conference on Database Systems for Advanced Applications, DASFAA 2011; Hong Kong; China; 22 April 2011 到 25 April 2011; 代碼 84609 |
| Data Type: | conference |
| DOI 連結: | http://dx.doi.org/10.1007/978-3-642-20152-3_18 |
| DOI: | 10.1007/978-3-642-20152-3_18 |
| Appears in Collections: | [資訊科學系] 會議論文
|
Files in This Item:
| File |
Description |
Size | Format | |
|---|
| index.html | | 0Kb | HTML2 | 1179 | View/Open |
|
All items in 政大典藏 are protected by copyright, with all rights reserved.
|
著作權政策宣告 Copyright Announcement1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.
2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(
nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(
nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
