Description
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.
|
