Predictive Skyline Queries for Moving Objects

被引：0

作者：

Chen, Nan ^{[1
]}

Shou, Lidan ^{[1
]}

Chen, Gang ^{[1
]}

Gao, Yunjun ^{[2
]}

Dong, Jinxiang ^{[1
]}

机构：

[1] Zhejiang Univ, Coll Comp Sci, Hangzhou, Zhejiang, Peoples R China

[2] Singapore Management Univ, Sch Informat Syst, Singapore 178902, Singapore

来源：

DATABASE SYSTEMS FOR ADVANCED APPLICATIONS, PROCEEDINGS | 2009年 / 5463卷

关键词：

spatio-temporal database; moving object; skyline;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The existing works on skyline queries mainly assume static datasets. However, querying skylines on a database of moving objects is of equal importance, if not more. We propose a framework for processing predictive skyline queries for moving objects which also contain other dynamic and static attributes. We present two schemes, namely RBBS and TPBBS, to answer predictive skyline queries. Experimental results show that TPBBS considerably outperforms RBBS.

引用

页码：278 / +

页数：2

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