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J-GLOBAL ID：202202274418232656   Reference number：22A1244407

Minimum threshold determination method based on dataset characteristics in association rule mining

相関ルールマイニングにおけるデータセット特性に基づく最小閾値決定法【JST・京大機械翻訳】

Author (3)： Erna Hikmawati, (School of Electrical Engineering and Informatics, Institut Teknologi, Bandung, Indonesia) ,  Ulfa Maulidevi, Nur (School of Electrical Engineering and Informatics, Institut Teknologi, Bandung, Indonesia) ,  Kridanto Surendro, (School of Electrical Engineering and Informatics, Institut Teknologi, Bandung, Indonesia)
Material： Journal Of Big Data (Web)
Volume： 8  Issue： 1  Page： 1-17  Publication year： 2021 
JST Material Number： U8299A  ISSN： 2196-1115  Document type： Article
Article type： 原著論文  Country of issue： United Kingdom (GBR)  Language： ENGLISH (EN)

Abstract/Point： Association rule mining is a t...

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Thesaurus term： algorithm ,  memory(computer) ,  *threshold ,  lift(aerodynamic) ,  set ,  association rule ,  data mining
Semi thesaurus term： ユーザニーズ ,  *アソシエーション分析 , 【Automatic Indexing@JST】

JST classification (1)： Artificial intelligence  (JE08000Z)

Reference (56)：

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• Int J Open Probl Comput Math; An automated association rule mining technique with cumulative support thresholds; CSK Selvi, A Tamilarasi; 2; 2009; 12; citation_id=CR3
• Association rule mining: models and algorithms; 2002; CR4; C Zhang, S Zhang; citation_publisher=Springer
• Knowl Based Syst; Top-k high utility pattern mining with effective threshold raising strategies; H Ryang, U Yun; 76; 2015; 109-126; 10.1016/j.knosys.2014.12.010; citation_id=CR5

Terms in the title (3)： 相関ルールマイニング ,  データセット ,  閾値