March 2010
Intermediate to advanced
395 pages
12h 4m
English
Content preview from Temporal Data Mining
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315
9Chapter
Spatiotemporal
Data Mining
9.1 GENERAL CONCEPTS
Given the advent of telecommunications and particularly cellular phones,
GPS technology and satellite imagery, robotics, Web trac monitoring,
and computer vision applications, the amount of spatiotemporal data
stored every day has grown exponentially. Applications vary from track-
ing the movement of objects to monitoring the growth of forests.
As discussed in [Rod01], in most systems, time is considered to be uni-
directional and linear. It is usually modeled as a discrete variable taking
integer values that represent days, hours, and so on. On the other hand,
space is considered ...
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