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» Approximation Techniques for Spatial Data
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GD
2006
Springer
14 years 14 days ago
Eigensolver Methods for Progressive Multidimensional Scaling of Large Data
We present a novel sampling-based approximation technique for classical multidimensional scaling that yields an extremely fast layout algorithm suitable even for very large graphs....
Ulrik Brandes, Christian Pich
ADC
2007
Springer
124views Database» more  ADC 2007»
14 years 3 months ago
Interoperability for Geospatial Analysis: a Semantics and Ontology-based Approach
Information extraction and integration from heterogeneous, autonomous data resources are major requirements for many spatial applications. Geospatial analysis for scientific disco...
Zarine Kemp, Lei Tan, Jacqueline L. Whalley
SDM
2008
SIAM
147views Data Mining» more  SDM 2008»
13 years 10 months ago
The Asymmetric Approximate Anytime Join: A New Primitive with Applications to Data Mining
It has long been noted that many data mining algorithms can be built on top of join algorithms. This has lead to a wealth of recent work on efficiently supporting such joins with ...
Lexiang Ye, Xiaoyue Wang, Dragomir Yankov, Eamonn ...
ICDE
2001
IEEE
149views Database» more  ICDE 2001»
14 years 10 months ago
Selectivity Estimation for Spatial Joins
Spatial Joins are important and time consuming operations in spatial database management systems. It is crucial to be able to accurately estimate the performance of these operatio...
Ning An, Zhen-Yu Yang, Anand Sivasubramaniam
GIS
2002
ACM
13 years 8 months ago
A road network embedding technique for k-nearest neighbor search in moving object databases
A very important class of queries in GIS applications is the class of K-Nearest Neighbor queries. Most of the current studies on the K-Nearest Neighbor queries utilize spatial ind...
Cyrus Shahabi, Mohammad R. Kolahdouzan, Mehdi Shar...