Publication Type
Book Chapter
Publication Date
Page Number
549
Publisher Name
CRC Press
Publisher Location
Boca Raton, Federated States of Micronesia, United States of America
Abstract
Explosive growth in geospatial data and the emergence of new
spatial technologies emphasize the need for automated discovery of spatial
knowledge. Spatial data mining is the process of discovering interesting
and previously unknown, but potentially useful patterns from large spatial
databases. The complexity of spatial data and intrinsic spatial relationships
limits the usefulness of conventional data mining techniques for extracting
spatial patterns. In this chapter we explore the emerging field of spatial data
mining, focusing on four major topics: prediction and classification, outlier
detection, co-location mining, and clustering. Spatiotemporal data mining is
also briefly discussed.