NDLI: Optimal-Nearest-Neighbor Queries

Content Provider	IEEE Xplore Digital Library
Author	Yunjun Gao Jing Zhang Gencai Chen Qing Li Shen Liu Chun Chen
Copyright Year	2008
Description	Author affiliation: Dept. of Comput. Sci., Univ. of Hong Kong, Hong Kong (Yunjun Gao; Jing Zhang; Gencai Chen)
Abstract	Given two sets $D_{A}$ and $D_{B}$ of multidimensional objects, a spatial region R, and a critical distance dc, an optimal-nearest- neighbor (ONN) query retrieves outside R, the object in $D_{B}$ with maximum optimality. Let CAR $(S_{p},p)$ be the cardinality of the subset Sp of objects in $D_{A}$ which locate within R and are enclosed by the vicinity circle centered at p with radius $d_{c}.$ Then, an object o is said to be better than another one o' if (i) CAR $(S_{o},o)$ = CAR $(S_{o},o'),$ or (ii) when CAR $(S_{o},o)$ = CAR $(S_{o}',o')$ the sum of the weighted distance from each object in $S_{o}$ to o is smaller than the sum of the weighted distance between every object in So' and o'. This type of queries is quite useful in many decision making applications. In this paper, we formalize the ONN query, develop the optimality metric, and propose several algorithms for finding optimal nearest neighbors efficiently. Our techniques assume that both $D_{A}$ and $D_{B}$ are indexed by R-trees. Extensive experiments demonstrate the efficiency and scalability of our proposed algorithms using both real and synthetic datasets.
Starting Page	1454
Ending Page	1456
File Size	270829
Page Count	3
File Format	PDF
ISBN	9781424418367
DOI	10.1109/ICDE.2008.4497587
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-04-07
Publisher Place	Mexico
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Nearest neighbor searches Multidimensional systems Decision making Computer science Scalability Spatial databases Query processing Hospitals Educational institutions
Content Type	Text
Resource Type	Article

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