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» Efficiently Mining Regional Outliers in Spatial Data
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GEOINFORMATICA
2006
102views more  GEOINFORMATICA 2006»
13 years 7 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
SDM
2003
SIAM
184views Data Mining» more  SDM 2003»
13 years 9 months ago
Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
Levent Ertöz, Michael Steinbach, Vipin Kumar
ICDE
2006
IEEE
133views Database» more  ICDE 2006»
14 years 9 months ago
ViEWNet: Visual Exploration of Region-Wide Traffic Networks
Location-based services and data mining algorithms analyzing objects moving on a complex traffic network are becoming increasingly important. In this paper, we introduce a new app...
Hans-Peter Kriegel, Peter Kunath, Martin Pfeifle, ...
ISBI
2004
IEEE
14 years 8 months ago
Outlier Detection for Robust Region-Based Estimation of the Hemodynamic Response Function in Event-Related fMRI
In functional Magnetic Resonance Imaging (fMRI), the Hemodynamic Response Function (HRF) represents the impulse response of the neurovascular system. Its identification is essenti...
Philippe Ciuciu, Alexis Roche, Jérôme...
ICDM
2007
IEEE
301views Data Mining» more  ICDM 2007»
13 years 11 months ago
Stream Event Detection: A Unified Framework for Mining Outlier, Change and Burst Simultaneously over Data Stream
Event detection is one of the most important issues of event processing system, especially Complex Event Processing (CEP). Outlier event, change event and burst event are three ty...
Zhijian Yuan, Kai Du, Yan Jia, Jiajia Miao