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ICDE
2003
IEEE
193views Database» more  ICDE 2003»
14 years 7 months ago
An Adaptive and Efficient Dimensionality Reduction Algorithm for High-Dimensional Indexing
The notorious "dimensionality curse" is a well-known phenomenon for any multi-dimensional indexes attempting to scale up to high dimensions. One well known approach to o...
Hui Jin, Beng Chin Ooi, Heng Tao Shen, Cui Yu, Aoy...
ICDE
2006
IEEE
164views Database» more  ICDE 2006»
14 years 7 months ago
New Sampling-Based Estimators for OLAP Queries
One important way in which sampling for approximate query processing in a database environment differs from traditional applications of sampling is that in a database, it is feasi...
Ruoming Jin, Leonid Glimcher, Chris Jermaine, Gaga...
VLDB
2005
ACM
149views Database» more  VLDB 2005»
14 years 6 months ago
Selectivity estimators for multidimensional range queries over real attributes
Estimating the selectivity of multidimensional range queries over real valued attributes has significant applications in data exploration and database query optimization. In this p...
Dimitrios Gunopulos, George Kollios, Vassilis J. T...
SIGMOD
1999
ACM
181views Database» more  SIGMOD 1999»
13 years 10 months ago
Approximate Computation of Multidimensional Aggregates of Sparse Data Using Wavelets
Computing multidimensional aggregates in high dimensions is a performance bottleneck for many OLAP applications. Obtaining the exact answer to an aggregation query can be prohibit...
Jeffrey Scott Vitter, Min Wang
MICAI
2005
Springer
13 years 11 months ago
Proximity Searching in High Dimensional Spaces with a Proximity Preserving Order
Abstract. Kernel based methods (such as k-nearest neighbors classifiers) for AI tasks translate the classification problem into a proximity search problem, in a space that is usu...
Edgar Chávez, Karina Figueroa, Gonzalo Nava...