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AUSDM
2007
Springer
193views Data Mining» more  AUSDM 2007»
14 years 2 months ago
Are Zero-suppressed Binary Decision Diagrams Good for Mining Frequent Patterns in High Dimensional Datasets?
Mining frequent patterns such as frequent itemsets is a core operation in many important data mining tasks, such as in association rule mining. Mining frequent itemsets in high-di...
Elsa Loekito, James Bailey
KDD
2007
ACM
335views Data Mining» more  KDD 2007»
14 years 8 months ago
Detecting changes in large data sets of payment card data: a case study
An important problem in data mining is detecting changes in large data sets. Although there are a variety of change detection algorithms that have been developed, in practice it c...
Chris Curry, Robert L. Grossman, David Locke, Stev...
MICRO
1997
IEEE
141views Hardware» more  MICRO 1997»
14 years 15 days ago
Unroll-and-Jam Using Uniformly Generated Sets
Modern architectural trends in instruction-level parallelism (ILP) are to increase the computational power of microprocessors significantly. As a result, the demands on memory ha...
Steve Carr, Yiping Guan
RTS
2011
123views more  RTS 2011»
13 years 3 months ago
Feasibility analysis under fixed priority scheduling with limited preemptions
—Preemptive scheduling often generates a significant runtime overhead that may increase task worst-case execution times up to 40%, with respect to a fully non preemptive executi...
Gang Yao, Giorgio C. Buttazzo, Marko Bertogna
SIGGRAPH
2010
ACM
14 years 24 days ago
Feature-aligned T-meshes
High-order and regularly sampled surface representations are more efficient and compact than general meshes and considerably simplify many geometric modeling and processing algor...
Ashish Myles, Nico Pietroni, Denis Kovacs, Denis Z...