Sciweavers

Share
VLDB
2007
ACM

On Dominating Your Neighborhood Profitably

9 years 10 months ago
On Dominating Your Neighborhood Profitably
Recent research on skyline queries has attracted much interest in the database and data mining community. Given a database, an object belongs to the skyline if it cannot be dominated with respect to the given attributes by any other database object. Current methods have only considered so-called min/max attributes like price and quality which a user wants to minimize or maximize. However, objects can also have spatial attributes like x, y coordinates which can be used to represent relevant constraints on the query results. In this paper, we introduce novel skyline query types taking into account not only min/max attributes but also spatial attributes and the relationships between these different attribute types. Such queries support a micro-economic approach to decision making, considering not only the quality but also the cost of solutions. We investigate two alternative approaches for efficient query processing, a symmetrical one based on off-the-shelf index structures, and an asymm...
Cuiping Li, Anthony K. H. Tung, Wen Jin, Martin Es
Added 05 Dec 2009
Updated 05 Dec 2009
Type Conference
Year 2007
Where VLDB
Authors Cuiping Li, Anthony K. H. Tung, Wen Jin, Martin Ester
Comments (0)
books