A Framework for Evaluating Skyline Query Over Uncertain Autonomous Databases

详细信息    查看全文

• 作者：Nurul Husna Mohd Saad^a ; ^{nhusna.saad@gmail.com" class="auth_mail} ; Hamidah Ibrahim^a ; ^{hamidah.ibrahim@upm.edu.my" class="auth_mail} ; Ali Amer Alwan^b ; ^{ali83_upm@yahoo.com" class="auth_mail} ; Fatimah Sidi^a ; ^{fatimah@upm.edu.my" class="auth_mail} ; Razali Yaakob^a ; ^{razaliy@upm.edu.my" class="auth_mail}
• 关键词：Autonomous Database ; Data Management ; Probabilistic Skyline Queries ; Uncertain Dimensions
• 刊名：Procedia Computer Science
• 出版年：2014
• 年：2014
• 卷：29
• 期：Complete
• 页码：1546-1556
• 全文大小：1337 K

文摘

The perception of skyline query is to find a set of objects that is much preferred in all dimensions. While this theory is easily applicable on certain and complete database, however, when it comes to data integration of databases where each has different representation of data in a same dimension, it would be difficult to determine the dominance relation between the underlying data. In this paper, we propose a framework, SkyQUD, to efficiently compute the skyline probability of datasets in uncertain dimensions. We explore the effects of having datasets with uncertain dimensions in relation to the dominance relation theory and propose a framework that is able to support skyline queries on this type of datasets.