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» CURE: An Efficient Clustering Algorithm for Large Databases
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EDBT
2008
ACM
154views Database» more  EDBT 2008»
16 years 4 months ago
Data utility and privacy protection trade-off in k-anonymisation
K-anonymisation is an approach to protecting privacy contained within a dataset. A good k-anonymisation algorithm should anonymise a dataset in such a way that private information...
Grigorios Loukides, Jianhua Shao
ICDE
2012
IEEE
343views Database» more  ICDE 2012»
13 years 6 months ago
Bi-level Locality Sensitive Hashing for k-Nearest Neighbor Computation
We present a new Bi-level LSH algorithm to perform approximate k-nearest neighbor search in high dimensional spaces. Our formulation is based on a two-level scheme. In the first ...
Jia Pan, Dinesh Manocha
KDD
2006
ACM
121views Data Mining» more  KDD 2006»
16 years 4 months ago
Query-time entity resolution
The goal of entity resolution is to reconcile database references corresponding to the same real-world entities. Given the abundance of publicly available databases where entities...
Indrajit Bhattacharya, Lise Getoor, Louis Licamele
SIGMOD
2007
ACM
136views Database» more  SIGMOD 2007»
16 years 4 months ago
Progressive optimization in a shared-nothing parallel database
Commercial enterprise data warehouses are typically implemented on parallel databases due to the inherent scalability and performance limitation of a serial architecture. Queries ...
Wook-Shin Han, Jack Ng, Volker Markl, Holger Kache...
DEXAW
2009
IEEE
135views Database» more  DEXAW 2009»
15 years 7 months ago
Motif Discovery in Brain Networks of Patients with Somatoform Pain Disorder
Idiopathic chronic pain disorders constitude a large, clinically important health care problem that urgently needs deeper pathophysiological insight. The understanding which brain ...
Annahita Oswald, Bianca Wackersreuther