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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 6 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 8 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 6 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 6 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 10 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