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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/52742

    Title: Applying Data Mining Technologies to the Learning and Study Strategies Inventory
    Authors: 施建州;Shih, Chien-chou;賴盛維;Lai, Sheng-wei;胡延薇;Hu, Yen-Wei;蔣定安;Chiang, Ding-an
    Contributors: 淡江大學資訊傳播學系
    Keywords: Data Mining;Decision Tree;Association Rule;LASSI
    Date: 2007-12-01
    Issue Date: 2010-12-01 10:28:12 (UTC+8)
    Publisher: 臺北縣:淡江大學
    Abstract: To understand the thoughts and behavior of a large group of people, surveys are often used to obtain objective data. They are generally composed of dozens of questions that can be quite timeconsuming, and a hassle to complete. To avoid this, the classification charts of the decision tree were used to search for critical and relevant questions, whereas the association rule reduced the number of questions within related categories. This paper applies data mining technology, which achieved the above-said outcome from performance evaluation results.
    Relation: 淡江理工學刊=Tamkang journal of science and engineering 10(4),頁389-397
    DOI: 10.6180/jase.2007.10.4.11
    Appears in Collections:[資訊工程學系暨研究所] 期刊論文
    [教務處] 期刊論文
    [資訊傳播學系暨研究所] 期刊論文

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