Data & Knowledge Engineering
Where are you heading, metric access methods?: a provocative survey
Proceedings of the Third International Conference on SImilarity Search and APplications
Dynamic skylines considering range queries
DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications: Part II
Efficient computation of combinatorial skyline queries
Information Systems
Monochromatic and bichromatic mutual skyline queries
Expert Systems with Applications: An International Journal
On efficient reverse skyline query processing
Expert Systems with Applications: An International Journal
| Hi-index | 0.00 |
Skyline query is of great importance in many applications, such as multi-criteria decision making and business planning. In particular, a skyline point is a data object in the database whose attribute vector is not dominated by that of any other objects. Previous methods to retrieve skyline points usually assume static data objects in the database (i.e. their attribute vectors are fixed), whereas several recent work focus on skyline queries with dynamic attributes. In this paper, we propose a novel variant of skyline queries, namely metric skyline, whose dynamic attributes are defined in the metric space (i.e. not limited to the Euclidean space). We illustrate an efficient and effective pruning mechanism to answer metric skyline queries through a metric index. Most importantly, we formalize the query performance of the metric skyline query in terms of the pruning power, by a cost model, in light of which we construct an optimized metric index aiming to maximize the pruning power of metric skyline queries. Extensive experiments have demonstrated the efficiency and effectiveness of our proposed pruning techniques as well as the constructed index in answering metric skyline queries.