Monochromatic and Bichromatic Mutual Skyline Queries
Abstract
In this paper, we study a new skyline operator, namely, mutual skyline query (MSQ), which retrieves all the data objects that are contained in the dynamic skyline and meanwhile the reverse skyline of a specified query object q. MSQ has many applications such as marketing analysis, task allocation, and personalized matching. Motivated by this, we first formalize MSQ in both monochromatic and bichromatic cases, and then propose several algorithms for processing MSQ. Our methods utilize a conventional data-partitioning index on the dataset, employ the advantage of reusing technique, and exploit effective pruning heuristics to improve the query processing. Extensive experiments using both real and synthetic datasets demonstrate the effectiveness and efficiency of our proposed algorithms under various experimental settings. Crown Copyright © 2013 Published by Elsevier Ltd. All rights reserved.
Recommended Citation
T. Jiang et al., "Monochromatic and Bichromatic Mutual Skyline Queries," Expert Systems with Applications, vol. 41, no. 4 PART 2, pp. 1885 - 1900, Elsevier, Jan 2014.
The definitive version is available at https://doi.org/10.1016/j.eswa.2013.08.085
Department(s)
Computer Science
Keywords and Phrases
Algorithm; Mutual skyline query; Query processing; Skyline query; Spatial database
International Standard Serial Number (ISSN)
0957-4174
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Elsevier, All rights reserved.
Publication Date
01 Jan 2014
Comments
National Natural Science Foundation of China, Grant LY12F02047