Approximately dominating representatives

  • Authors:
  • Vladlen Koltun;Christos H. Papadimitriou

  • Affiliations:
  • Computer Science Division, University of California, Berkeley, CA 94720-1776, USA;Computer Science Division, University of California, Berkeley, CA 94720-1776, USA

  • Venue:
  • Theoretical Computer Science
  • Year:
  • 2007

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Abstract

We propose and investigate from the algorithmic standpoint a novel form of fuzzy query called approximately dominating representatives or ADRs. The ADRs of a multidimensional point set consist of a few points guaranteed to contain an approximate optimum of any monotone Lipschitz continuous combining function of the dimensions. ADRs can be computed by appropriately post-processing Pareto, or ''skyline'', queries [Kian-Lee Tan, Pin-Kwang Eng, Beng Chin Ooi, Efficient progressive skyline computation, in: VLDB, 2001, pp. 301-310; Wolf-Tilo Balke, Ulrich Guntzer, Jason Xin Zheng, Efficient distributed skylining for web information systems, in: EDBT, 2004. [14]]. We show that the problem of minimizing the number of points returned, for a user-specified desired approximation, can be solved in polynomial time in two dimensions; for three and more it is NP-hard but has a polynomial-time logarithmic approximation. Finally, we present a polynomial-time, constant factor approximation algorithm for three dimensions.