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

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著者

    • 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

抄録

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.

収録刊行物

  • IEICE transactions on information and systems

    IEICE transactions on information and systems 94(10), 2048-2051, 2011-10-01

    一般社団法人 電子情報通信学会

参考文献:  7件中 1-7件 を表示

各種コード

  • NII論文ID(NAID)
    10030193601
  • NII書誌ID(NCID)
    AA10826272
  • 本文言語コード
    ENG
  • 資料種別
    SHO
  • ISSN
    09168532
  • データ提供元
    CJP書誌  J-STAGE 
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