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» Efficient Mining of Spatiotemporal Patterns
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GEOINFORMATICA
2006
102views more  GEOINFORMATICA 2006»
13 years 9 months ago
Mining Co-Location Patterns with Rare Events from Spatial Data Sets
Abstract A co-location pattern is a group of spatial features/events that are frequently co-located in the same region. For example, human cases of West Nile Virus often occur in r...
Yan Huang, Jian Pei, Hui Xiong
CVPR
2009
IEEE
15 years 2 months ago
Early Spatiotemporal Grouping with a Distributed Oriented Energy Representation
Spatiotemporal data is associated with vast amounts of raw samples. Given the limited computational resources typically available, an initial organization of this data supporting ...
Konstantinos G. Derpanis, Richard P. Wildes
KDD
2007
ACM
170views Data Mining» more  KDD 2007»
14 years 10 months ago
From frequent itemsets to semantically meaningful visual patterns
Data mining techniques that are successful in transaction and text data may not be simply applied to image data that contain high-dimensional features and have spatial structures....
Junsong Yuan, Ying Wu, Ming Yang
MICCAI
2008
Springer
14 years 11 months ago
A Distributed Spatio-temporal EEG/MEG Inverse Solver
We propose a novel 1 2-norm inverse solver for estimating the sources of EEG/MEG signals. Based on the standard 1-norm inverse solver, the proposed sparse distributed inverse solve...
Wanmei Ou, Polina Golland, Matti Hämäl&a...
KDD
2001
ACM
118views Data Mining» more  KDD 2001»
14 years 10 months ago
Infominer: mining surprising periodic patterns
In this paper, we focus on mining surprising periodic patterns in a sequence of events. In many applications, e.g., computational biology, an infrequent pattern is still considere...
Jiong Yang, Wei Wang 0010, Philip S. Yu