Computer Science – Databases
Scientific paper
2007-10-13
Computer Science
Databases
10 pages
Scientific paper
Current skyline evaluation techniques assume a fixed ordering on the attributes. However, dynamic preferences on nominal attributes are more realistic in known applications. In order to generate online response for any such preference issued by a user, we propose two methods of different characteristics. The first one is a semi-materialization method and the second is an adaptive SFS method. Finally, we conduct experiments to show the efficiency of our proposed algorithms.
Fu Ada Wai-Chee
Ho Yip Sing
Liu Yubao
Pei Jian
Wong Raymond Chi-Wing
No associations
LandOfFree
Efficient Skyline Querying with Variable User Preferences on Nominal Attributes does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Efficient Skyline Querying with Variable User Preferences on Nominal Attributes, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Efficient Skyline Querying with Variable User Preferences on Nominal Attributes will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-724301