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SSD
2007
Springer
131views Database» more  SSD 2007»
13 years 11 months ago
Efficiently Mining Regional Outliers in Spatial Data
With the increasing availability of spatial data in many applications, spatial clustering and outlier detection has received a lot of attention in the database and data mining comm...
Richard Frank, Wen Jin, Martin Ester
AI
2009
Springer
14 years 7 days ago
An Ontology-Based Spatial Clustering Selection System
Spatial clustering, which groups similar spatial objects into classes, is an important research topic in spatial data mining. Many spatial clustering methods have been developed re...
Wei Gu, Xin Wang, Danielle Ziébelin
IJDMMM
2008
119views more  IJDMMM 2008»
13 years 5 months ago
A relational perspective on spatial data mining
: Remote sensing and mobile devices nowadays collect a huge amount of spatial data, which have to be analysed in order to discover interesting information about economic, social an...
Donato Malerba
KDD
2007
ACM
170views Data Mining» more  KDD 2007»
14 years 6 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
DMKD
2004
ACM
127views Data Mining» more  DMKD 2004»
13 years 11 months ago
Discovering spatial patterns accurately with effective noise removal
Cluster analysis is a common approach to pattern discovery in spatial databases. While many clustering techniques have been developed, it is still challenging to discover implicit...
Yu Qian, Kang Zhang