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» CURE: An Efficient Clustering Algorithm for Large Databases
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GIS
2002
ACM
15 years 3 months ago
Opening the black box: interactive hierarchical clustering for multivariate spatial patterns
Clustering is one of the most important tasks for geographic knowledge discovery. However, existing clustering methods have two severe drawbacks for this purpose. First, spatial c...
Diansheng Guo, Donna Peuquet, Mark Gahegan
SIS
2004
15 years 5 months ago
Efficient Tree Search in Encrypted Data
Abstract. Sometimes there is a need to store sensitive data on an untrusted database server. Song, Wagner and Perrig have introduced a way to search for the existence of a word in ...
Richard Brinkman, Ling Feng, Jeroen Doumen, Pieter...
SSD
1997
Springer
140views Database» more  SSD 1997»
15 years 7 months ago
Spatial Data Mining: A Database Approach
Abstract. Knowledge discovery in databases (KDD) is an important task in spatial databases since both, the number and the size of such databases are rapidly growing. This paper int...
Martin Ester, Hans-Peter Kriegel, Jörg Sander
PODS
2005
ACM
115views Database» more  PODS 2005»
16 years 3 months ago
A divide-and-merge methodology for clustering
We present a divide-and-merge methodology for clustering a set of objects that combines a top-down "divide" phase with a bottom-up "merge" phase. In contrast, ...
David Cheng, Santosh Vempala, Ravi Kannan, Grant W...
IJDMB
2007
114views more  IJDMB 2007»
15 years 3 months ago
A parallel edge-betweenness clustering tool for Protein-Protein Interaction networks
: The increasing availability of protein-protein interaction graphs (PPI) requires new efficient tools capable of extracting valuable biological knowledge from these networks. Amon...
Qiaofeng Yang, Stefano Lonardi