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» On High Dimensional Skylines
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SIGMOD
2008
ACM
126views Database» more  SIGMOD 2008»
14 years 10 months ago
On efficient top-k query processing in highly distributed environments
Lately the advances in centralized database management systems show a trend towards supporting rank-aware query operators, like top-k, that enable users to retrieve only the most ...
Akrivi Vlachou, Christos Doulkeridis, Kjetil N&osl...
SDM
2012
SIAM
452views Data Mining» more  SDM 2012»
12 years 6 days ago
Density-based Projected Clustering over High Dimensional Data Streams
Clustering of high dimensional data streams is an important problem in many application domains, a prominent example being network monitoring. Several approaches have been lately ...
Irene Ntoutsi, Arthur Zimek, Themis Palpanas, Peer...
EDBT
2009
ACM
92views Database» more  EDBT 2009»
14 years 1 months ago
Efficient skyline computation in metric space
Given a set of n query points in a general metric space, a metricspace skyline (MSS) query asks what are the closest points to all these query points in the database. Here, consid...
David Fuhry, Ruoming Jin, Donghui Zhang
ICDE
2007
IEEE
228views Database» more  ICDE 2007»
14 years 4 months ago
A General Cost Model for Dimensionality Reduction in High Dimensional Spaces
Similarity search usually encounters a serious problem in the high dimensional space, known as the “curse of dimensionality”. In order to speed up the retrieval efficiency, p...
Xiang Lian, Lei Chen 0002
VLDB
2000
ACM
229views Database» more  VLDB 2000»
14 years 1 months ago
Local Dimensionality Reduction: A New Approach to Indexing High Dimensional Spaces
Many emerging application domains require database systems to support efficient access over highly multidimensional datasets. The current state-of-the-art technique to indexing hi...
Kaushik Chakrabarti, Sharad Mehrotra