Applying Data Mining Technologies to the Learning and Study Strategies Inventory

淡江大學機構典藏 > 文學院 > 資訊傳播學系暨研究所 > 期刊論文 > Item 987654321/52742

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题名:	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
贡献者:	淡江大學資訊傳播學系
关键词:	Data Mining;Decision Tree;Association Rule;LASSI
日期:	2007-12-01
上传时间:	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
显示于类别:	[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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