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» Spatial Indexing of Large Multidimensional Databases
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DATAMINE
1999
113views more  DATAMINE 1999»
13 years 4 months ago
A Fast Parallel Clustering Algorithm for Large Spatial Databases
The clustering algorithm DBSCAN relies on a density-based notion of clusters and is designed to discover clusters of arbitrary shape as well as to distinguish noise. In this paper,...
Xiaowei Xu, Jochen Jäger, Hans-Peter Kriegel
ICMCS
1996
IEEE
135views Multimedia» more  ICMCS 1996»
13 years 9 months ago
Spatio-Temporal Indexing for Large Multimedia Applications
Multimedia applications usually involve a large number of multimedia objects (texts, images, sounds etc.). Spatial and temporal relationships among these objects should be efficie...
Yannis Theodoridis, Michalis Vazirgiannis, Timos K...
SIGMOD
2001
ACM
184views Database» more  SIGMOD 2001»
14 years 5 months ago
Locally Adaptive Dimensionality Reduction for Indexing Large Time Series Databases
Similarity search in large time series databases has attracted much research interest recently. It is a difficult problem because of the typically high dimensionality of the data....
Eamonn J. Keogh, Kaushik Chakrabarti, Sharad Mehro...
BIBE
2003
IEEE
183views Bioinformatics» more  BIBE 2003»
13 years 10 months ago
Effective Indexing and Filtering for Similarity Search in Large Biosequence Databases
We present a multi-dimensional indexing approach for fast sequence similarity search in DNA and protein databases. In particular, we propose effective transformations of subsequen...
Ozgur Ozturk, Hakan Ferhatosmanoglu
EDBT
2012
ACM
216views Database» more  EDBT 2012»
11 years 7 months ago
Effectively indexing the multi-dimensional uncertain objects for range searching
The range searching problem is fundamental in a wide spectrum of applications such as radio frequency identification (RFID) networks, location based services (LBS), and global po...
Ying Zhang, Wenjie Zhang, Qianlu Lin, Xuemin Lin