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SIGMOD
2009
ACM
235views Database» more  SIGMOD 2009»
14 years 10 months ago
Quality and efficiency in high dimensional nearest neighbor search
Nearest neighbor (NN) search in high dimensional space is an important problem in many applications. Ideally, a practical solution (i) should be implementable in a relational data...
Yufei Tao, Ke Yi, Cheng Sheng, Panos Kalnis
SIGMOD
2009
ACM
120views Database» more  SIGMOD 2009»
14 years 10 months ago
Kernel-based skyline cardinality estimation
The skyline of a d-dimensional dataset consists of all points not dominated by others. The incorporation of the skyline operator into practical database systems necessitates an ef...
Zhenjie Zhang, Yin Yang, Ruichu Cai, Dimitris Papa...
SIGMOD
2009
ACM
258views Database» more  SIGMOD 2009»
14 years 10 months ago
Continuous obstructed nearest neighbor queries in spatial databases
In this paper, we study a novel form of continuous nearest neighbor queries in the presence of obstacles, namely continuous obstructed nearest neighbor (CONN) search. It considers...
Yunjun Gao, Baihua Zheng
PODS
2001
ACM
190views Database» more  PODS 2001»
14 years 10 months ago
On the Effects of Dimensionality Reduction on High Dimensional Similarity Search
The dimensionality curse has profound e ects on the effectiveness of high-dimensional similarity indexing from the performance perspective. One of the well known techniques for im...
Charu C. Aggarwal
PODS
2001
ACM
148views Database» more  PODS 2001»
14 years 10 months ago
On the Design and Quantification of Privacy Preserving Data Mining Algorithms
The increasing ability to track and collect large amounts of data with the use of current hardware technology has lead to an interest in the development of data mining algorithms ...
Dakshi Agrawal, Charu C. Aggarwal
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