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» Efficiently Mining Regional Outliers in Spatial Data
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84
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TSDM
2000
151views Data Mining» more  TSDM 2000»
15 years 1 months ago
Rough Sets in Spatio-temporal Data Mining
In this paper I define spatio-temporal regions as pairs consisting of a spatial and a temporal component and I define topological relations between them. Using the notion of rough ...
Thomas Bittner
DATAMINE
2000
118views more  DATAMINE 2000»
14 years 9 months ago
Spatial Data Mining: Database Primitives, Algorithms and Efficient DBMS Support
Abstract: Spatial data mining algorithms heavily depend on the efficient processing of neighborhood relations since the neighbors of many objects have to be investigated in a singl...
Martin Ester, Alexander Frommelt, Hans-Peter Krieg...
KDD
2006
ACM
165views Data Mining» more  KDD 2006»
15 years 10 months ago
Outlier detection by sampling with accuracy guarantees
An effective approach to detect anomalous points in a data set is distance-based outlier detection. This paper describes a simple sampling algorithm to efficiently detect distance...
Mingxi Wu, Chris Jermaine
78
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ICDM
2003
IEEE
123views Data Mining» more  ICDM 2003»
15 years 2 months ago
Complex Spatial Relationships
This paper describes the need for mining complex relationships in spatial data. Complex relationships are defined as those involving two or more of: multi-feature co-location, sel...
Robert Munro, Sanjay Chawla, Pei Sun
PAKDD
2009
ACM
263views Data Mining» more  PAKDD 2009»
15 years 4 months ago
Spatial Weighting for Bag-of-Visual-Words and Its Application in Content-Based Image Retrieval
It is a challenging and important task to retrieve images from a large and highly varied image data set based on their visual contents. Problems like how to fill the semantic gap b...
Xin Chen, Xiaohua Hu, Xiajiong Shen