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    請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/52742

    題名: Applying Data Mining Technologies to the Learning and Study Strategies Inventory
    作者: 施建州;Shih, Chien-chou;賴盛維;Lai, Sheng-wei;胡延薇;Hu, Yen-Wei;蔣定安;Chiang, Ding-an
    貢獻者: 淡江大學資訊傳播學系
    關鍵詞: Data Mining;Decision Tree;Association Rule;LASSI
    日期: 2007-12-01
    上傳時間: 2010-12-01 10:28:12 (UTC+8)
    出版者: 臺北縣:淡江大學
    摘要: 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.
    關聯: 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
    顯示於類別:[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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