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Nearest Neighbor Search

A Database Perspective

  • Apostolos N. Papadopoulos
  • Yannis Manolopoulos

Part of the Series in Computer Science book series (SCS)

Table of contents

  1. Front Matter
    Pages i-xxi
  2. Fundamental Issues

    1. Front Matter
      Pages 1-1
  3. Nearest Neighbor Search in Spatial and Spatiotemporal Databases

  4. Nearest Neighbor Search with Multiple Resources

  5. Back Matter
    Pages 153-170

About this book

Introduction

Modern applications are both data and computationally intensive and require the storage and manipulation of voluminous traditional (alphanumeric) and nontraditional data sets (images, text, geometric objects, time-series). Examples of such emerging application domains are: Geographical Information Systems (GIS), Multimedia Information Systems, CAD/CAM, Time-Series Analysis, Medical Information Sstems, On-Line Analytical Processing (OLAP), and Data Mining. These applications pose diverse requirements with respect to the information and the operations that need to be supported. From the database perspective, new techniques and tools therefore need to be developed towards increased processing efficiency.

This monograph explores the way spatial database management systems aim at supporting queries that involve the space characteristics of the underlying data, and discusses query processing techniques for nearest neighbor queries. It provides both basic concepts and state-of-the-art results in spatial databases and parallel processing research, and studies numerous applications of nearest neighbor queries.

Keywords

DOM LA Multimedia algorithms ants data mining statistics

Authors and affiliations

  • Apostolos N. Papadopoulos
    • 1
  • Yannis Manolopoulos
    • 1
  1. 1.Department of InformaticsAristotle UniversityThessalonikiGreece

Bibliographic information

  • DOI https://doi.org/10.1007/0-387-27544-4
  • Copyright Information Springer Science+Business Media, Inc. 2005
  • Publisher Name Springer, Boston, MA
  • eBook Packages Computer Science
  • Print ISBN 978-0-387-22963-8
  • Online ISBN 978-0-387-27544-4
  • Series Print ISSN 1567-7974
  • Buy this book on publisher's site