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An Efficient Pruning Method for Subspace Skyline Queries of Moving Objects  

Kim, Jin-Ho (명지대학교 컴퓨터공학과)
Park, Young-Bae (명지대학교 컴퓨터공학과)
Abstract
Most of previous works for skyline queries have focused only on static attributes of target objects. With the advance in mobile applications, however, the need of continuous skyline queries for moving objects has been increasing. Even though several techniques to process continuous skyline queries have been proposed recently, they cannot process subspace queries, which use only the subset of attribute dimensions. Therefore it is not feasible to utilize those methods for mobile applications which must consider moving objects and subspaces simultaneously. In this paper, we propose a dominant object-based pruning method to compute subspace skyline of moving objects efficiently at query time and present the experimental results to show the effectiveness of the proposed method.
Keywords
subspace skyline queries; moving objects; dominant object-based pruning;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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