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2007
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Programming Patterns for Architecture-Level Software Optimizations on Frequent Pattern Mining

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Programming Patterns for Architecture-Level Software Optimizations on Frequent Pattern Mining
One very important application in the data mining domain is frequent pattern mining. Various authors have worked on improving the efficiency of this computation, mostly focusing on algorithm-level improvement. More recent work has explored architecture specific optimizations of this computation. Our goal in this paper is to provide a systematic approach to architecture-level software optimizations by identifying applicable tuning patterns. We show the generality and effectiveness of these patterns by tuning several frequent pattern mining algorithms and showing significant performance improvements.
Mingliang Wei, Changhao Jiang, Marc Snir
Added 01 Nov 2009
Updated 01 Nov 2009
Type Conference
Year 2007
Where ICDE
Authors Mingliang Wei, Changhao Jiang, Marc Snir
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