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http://dx.doi.org/10.3745/KIPSTD.2011.18D.5.313

Efficient Computation of a Skyline under Location Restrictions  

Kim, Ji-Hyun (이화여자대학교 컴퓨터공학과)
Kim, Myung (이화여자대학교 컴퓨터공학과)
Publication Information
The KIPS Transactions:PartD / v.18D, no.5, 2011 , pp. 313-316 More about this Journal
Abstract
The skyline of a multi-dimensional data set is a subset that consists of the data that are not dominated by other members of the set. Skyline computation can be very useful for decision making for multi-dimensional data set. However, in case that the skyline is very large, it may not be much useful for decision making. In this paper, we propose an algorithm for computing a part of the skyline considering location restrictions that the user provides, such as origin movement, degree ranges and/or distances from the origin. The algorithm eliminates noncandidate data rapidly, and returns in order the skyline points that satisfy the user's requests. We show that the algorithm is efficient by experiments.
Keywords
Multi-dimensional Data Analysis; Skyline Computation; Decision Making;
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