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PAKDD
2010
ACM
169views Data Mining» more  PAKDD 2010»
10 years 1 months ago
Correspondence Clustering: An Approach to Cluster Multiple Related Spatial Datasets
Domain experts are frequently interested to analyze multiple related spatial datasets. This capability is important for change analysis and contrast mining. In this paper, a novel ...
Vadeerat Rinsurongkawong, Christoph F. Eick
SIGMOD
1999
ACM
98views Database» more  SIGMOD 1999»
10 years 3 months ago
Integration of Spatial Join Algorithms for Processing Multiple Inputs
Several techniques that compute the join between two spatial datasets have been proposed during the last decade. Among these methods, some consider existing indices for the joined...
Nikos Mamoulis, Dimitris Papadias
ICTAI
2002
IEEE
10 years 4 months ago
Data Mining for Selective Visualization of Large Spatial Datasets
Data mining is the process of extracting implicit, valuable, and interesting information from large sets of data. Visualization is the process of visually exploring data for patte...
Shashi Shekhar, Chang-Tien Lu, Pusheng Zhang, Ruli...
ADBIS
2003
Springer
95views Database» more  ADBIS 2003»
10 years 4 months ago
Distance Join Queries of Multiple Inputs in Spatial Databases
Let a tuple of n objects obeying a query graph (QG) be called the n-tuple. The “Ddistance-value” of this n-tuple is the value of a linear function of distances of the n objects...
Antonio Corral, Yannis Manolopoulos, Yannis Theodo...
ICDM
2006
IEEE
130views Data Mining» more  ICDM 2006»
10 years 5 months ago
A Framework for Regional Association Rule Mining in Spatial Datasets
The immense explosion of geographically referenced data calls for efficient discovery of spatial knowledge. One critical requirement for spatial data mining is the capability to ...
Wei Ding 0003, Christoph F. Eick, Jing Wang 0007, ...
SSD
2009
Springer
193views Database» more  SSD 2009»
10 years 6 months ago
Query Integrity Assurance of Location-Based Services Accessing Outsourced Spatial Databases
Outsourcing data to third party data providers is becoming a common practice for data owners to avoid the cost of managing and maintaining databases. Meanwhile, due to the populari...
Wei-Shinn Ku, Ling Hu, Cyrus Shahabi, Haixun Wang
PAKDD
2009
ACM
225views Data Mining» more  PAKDD 2009»
10 years 8 months ago
Change Analysis in Spatial Data by Combining Contouring Algorithms with Supervised Density Functions.
Detecting changes in spatial datasets is important for many fields. In this paper, we introduce a methodology for change analysis in spatial datasets that combines contouring algor...
Christoph F. Eick, Chun-Sheng Chen, Michael D. Twa...
ICDE
2002
IEEE
122views Database» more  ICDE 2002»
11 years 26 days ago
Exploring Spatial Datasets with Histograms
Chengyu Sun, Divyakant Agrawal, Amr El Abbadi
ICDE
2003
IEEE
116views Database» more  ICDE 2003»
11 years 26 days ago
Joining Massive High-Dimensional Datasets
We consider the problem of joining massive datasets. We propose two techniques for minimizing disk I/O cost of join operations for both spatial and sequence data. Our techniques o...
Tamer Kahveci, Christian A. Lang, Ambuj K. Singh
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