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» The Higher-Order Aggregate Update Problem
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VLDB
2007
ACM
181views Database» more  VLDB 2007»
14 years 5 months ago
STAR: Self-Tuning Aggregation for Scalable Monitoring
We present STAR, a self-tuning algorithm that adaptively sets numeric precision constraints to accurately and efficiently answer continuous aggregate queries over distributed data...
Navendu Jain, Michael Dahlin, Yin Zhang, Dmitry Ki...
ICCL
1998
IEEE
13 years 10 months ago
Loop Optimization for Aggregate Array Computations
An aggregate array computation is a loop that computes accumulated quantities over array elements. Such computations are common in programs that use arrays, and the array elements...
Yanhong A. Liu, Scott D. Stoller
CVPR
2008
IEEE
14 years 7 months ago
Generalised blurring mean-shift algorithms for nonparametric clustering
Gaussian blurring mean-shift (GBMS) is a nonparametric clustering algorithm, having a single bandwidth parameter that controls the number of clusters. The algorithm iteratively sh...
Miguel Á. Carreira-Perpiñán
RIVF
2007
13 years 7 months ago
Forgetting data intelligently in data warehouses
— The amount of data stored in data warehouses grows very quickly so that they can get saturated. To overcome this problem, we propose a language for specifying forgetting functi...
Aliou Boly, Georges Hébrail
IDEAS
1999
IEEE
123views Database» more  IDEAS 1999»
13 years 10 months ago
Improving OLAP Performance by Multidimensional Hierarchical Clustering
Data-warehousing applications cope with enormous data sets in the range of Gigabytes and Terabytes. Queries usually either select a very small set of this data or perform aggregat...
Volker Markl, Frank Ramsak, Rudolf Bayer