|
Tutorial on Spatial and Spatio-Temporal Data Mining (IEEE ICDM 2010) – December,
Sydney Australia Prof. Dr. Vania Bogorny The recent advances and price reduction of technologies for collecting
spatial and spatio-temporal data like Satellite
Images, Cellular Phones, Sensor
Networks, and GPS devices has facilitated the
collection of data referenced in space and time. These huge collections of data often hide interesting information which conventional systems are unable to
discover. Spatial and spatio-temporal data require
complex data preprocessing, transformation, data mining, and post-processing
techniques to extract novel, useful, and understandable patterns. The
importance of spatial and spatio-temporal data
mining is growing with the increasing incidence and importance of large
geo-spatial datasets such as maps, repositories of remote-sensing images,
trajectories of moving objects generated by mobile devices, etc. Applications
include Mobile-commerce industry (location-based services), climatological effects of El Nino, land-use
classification and global change using satellite imagery, finding crime hot
spots, local instability in traffic, migration of birds, fishing control, and
so on. The main goal of this tutorial is to disseminate this research field,
giving an overview of the current state of the art and the main methodologies
and algorithms for spatial and spatio-temporal data
mining. This tutorial is directed to researches and practitioners, experts in
data mining, analysts of spatial and spatio-temporal
data, as well as knowledge engineers and domain experts from different
application areas. Material:
Tutorial.zip
|
||||||||||
|
|
|