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» On the Scalable Computation of Large Sets of Integrals
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KDD
2006
ACM
142views Data Mining» more  KDD 2006»
16 years 7 days ago
Mining distance-based outliers from large databases in any metric space
Let R be a set of objects. An object o R is an outlier, if there exist less than k objects in R whose distances to o are at most r. The values of k, r, and the distance metric ar...
Yufei Tao, Xiaokui Xiao, Shuigeng Zhou
JMLR
2006
156views more  JMLR 2006»
14 years 11 months ago
Large Scale Multiple Kernel Learning
While classical kernel-based learning algorithms are based on a single kernel, in practice it is often desirable to use multiple kernels. Lanckriet et al. (2004) considered conic ...
Sören Sonnenburg, Gunnar Rätsch, Christi...
CCGRID
2005
IEEE
15 years 5 months ago
Scaling NFSv4 with parallel file systems
Large grid installations require global access to massive data stores. Parallel file systems give high throughput within a LAN, but cross-site data transfers lack seamless integra...
Dean Hildebrand, Peter Honeyman
WLP
2004
Springer
15 years 5 months ago
SQL Based Frequent Pattern Mining with FP-Growth
Scalable data mining in large databases is one of today’s real challenges to database research area. The integration of data mining with database systems is an essential componen...
Xuequn Shang, Kai-Uwe Sattler, Ingolf Geist
PPSC
1993
15 years 1 months ago
I/O for TFLOPS Supercomputers
Scalable parallel computers with TFLOPS (Trillion FLoating Point Operations Per Second) performance levels are now under construction. While we believe TFLOPS processor technology...
Erik DeBenedictis, Stephen C. Johnson