ROCKET : A Robust Parallel Algorithm for Clustering Large-Scale Transaction Databases

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概要

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• We propose a robust and efficient algorithm called ROCKET for clustering large-scale transaction databases. ROCKET is a divisive hierarchical algorithm that makes the most of recent hardware architecture. ROCKET handles the cases with the small and the large number of similar transaction pairs separately and efficiently. Through experiments, we show that ROCKET achieves high-quality clustering with a dramatic performance improvement.

• 2011-10-01

著者

• Loh Woong-kee

  The Department Of Multimedia Sungkyul University

• MOON Yang-Sae

  the Department of Computer Science, Kangwon National University

• AHN Heejune

  the Department of Control & Instrumentation Engineering, Seoul National University of Science and Technology

• Moon Yang-sae

  The Department Of Computer Science Kangwon National University

関連論文

• ROCKET : A Robust Parallel Algorithm for Clustering Large-Scale Transaction Databases

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