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Direct Neighbor Search
Information Systems
  • Jilian ZHANG, Singapore Management University
  • Kyriakos MOURATIDIS, Singapore Management University
  • Hwee Hwa PANG, Singapore Management University
Publication Type
Journal Article
Publication Date

In this paper we study a novel query type, called direct neighbor query. Two objects in a dataset are direct neighbors (DNs) if a window selection may exclusively retrieve these two objects. Given a source object, a DN search computes all of its direct neighbors in the dataset. The DNs define a new type of affinity that differs from existing formulations (e.g., nearest neighbors, nearest surrounders, reverse nearest neighbors, etc.) and finds application in domains where user interests are expressed in the form of windows, i.e., multi-attribute range selections. Drawing on key properties of the DN relationship, we develop an I/O optimal processing algorithm for data indexed with a spatial access method. In addition to plain DN search, we also study its K -DN and all-DN variants. The former relaxes the DN condition – two objects are K -DNs if a window query may retrieve them and only up to K−1 other objects – whereas the all-DN variant computes the DNs of every object in the dataset. Using real, large-scale data, we demonstrate the efficiency and practicality of our approach, and show that it vastly outperforms a competitor constructed from previous work.

  • Direct neighbors,
  • Window query,
  • Low-dimensional search
Creative Commons License
Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International
Additional URL
Citation Information
Jilian ZHANG, Kyriakos MOURATIDIS and Hwee Hwa PANG. "Direct Neighbor Search" Information Systems Vol. 44 (2014) p. 73 - 92 ISSN: 0306-4379
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