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

, , and . page 336-345. (April 2007)
DOI: 10.1109/ICDE.2007.367879

Abstract

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.

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