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.
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