關鍵字查詢 | 類別:會議論文 | | 關鍵字:habits

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序號 學年期 教師動態
1 104/2 資創系 武士戎 教授 會議論文 發佈 Commodities Selection of Supermarket Email-Flyers by Recommender Systems , [104-2] :Commodities Selection of Supermarket Email-Flyers by Recommender Systems會議論文Commodities Selection of Supermarket Email-Flyers by Recommender SystemsWu, Shih-JungRetailing;Recommender system;Collaborative filteringTraditional physical retail stores often attract customers by sending email-flyers (or promotional electronic Direct Mail, DM). However, most customers will treat electronic DM as junk mail if it includes too many types of commodities or is sent too frequently. To avoid this problem, we propose a recommendation algorithm to select a small and fixed number of commodities for preparing customized electronic DM suitable for a well-known Taiwanese supermarket. Our method first selects a small and fixed number of commodity types that customers will most likely purchase; then, at product level, the method selects one commodity of each commodity type to promotion. Considering the habits of customers have already purchased commodities will buy again, when the recommendation success ra
2 103/2 體育教學組 李俞麟 副教授 會議論文 發佈 Affecting factors of health-related physical fitness: Knowledge, attitude, self-efficacy, exercise habits, and weight status among middle school students in Taiwan , [103-2] :Affecting factors of health-related physical fitness: Knowledge, attitude, self-efficacy, exercise habits, and weight status among middle school students in Taiwan會議論文Affecting factors of health-related physical fitness: Knowledge, attitude, self-efficacy, exercise habits, and weight status among middle school students in Taiwan李俞麟體育事務處Health-Related Physical Fitness, middle school students, 333 planThis study aimed to explore the possible factors, including knowledge, attitude, self-efficacy, and weight status and how these factors affect Health-Related Physical Fitness, HRPF among middle school students in Taiwan. Results of this study can provide the government a better direction of policy making on improving HRPF and fill the gap of the relationship between HRPF and knowledge, attitude, self-efficacy, exercise habits, and weight status in the literature. Methods: Data of this study included survey data and fitness test data. In order to ensure participants were representative of th
3 102/2 管科系 廖述賢 教授 會議論文 發佈 The Study of Snack Purchasing Behavior and Foreign Tourists’ Eating Habits at Taiwanese Night Markets , [102-2] :The Study of Snack Purchasing Behavior and Foreign Tourists’ Eating Habits at Taiwanese Night Markets會議論文The Study of Snack Purchasing Behavior and Foreign Tourists’ Eating Habits at Taiwanese Night Markets廖述賢淡江大學管理科學學系tku_id: 000121362;Submitted by 述賢 廖 (michael@mail.tku.edu.tw) on 2015-01-17T01:39:28Z&#x0D; No. of bitstreams: 0;Made available in DSpace on 2015-01-17T01:39:28Z (GMT). No. of bitstreams: 0;2015-01-19 補正完成 by 何雯婷en_US國際20140603~20140604IDN2014 ICOSI: The 2nd International Conference on Sustainable Innovation (ICoSI) ConferenceYogyakarta, Indonesia<links><record><name>機構典藏連結</name><url>http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/99965</url></record></links>
4 102/1 資工系 黃南競 講師 會議論文 發佈 Using Decision Tree to Analyze Relation between Aortic Aneurysm and Chronic Diseases in Clinical Application , [102-1] :Using Decision Tree to Analyze Relation between Aortic Aneurysm and Chronic Diseases in Clinical Application會議論文Using Decision Tree to Analyze Relation between Aortic Aneurysm and Chronic Diseases in Clinical ApplicationChou, Kuang-Yi; Shih, Chun-Che; Keh, Huan-Chao; Yu, Po-Yuan; Cheng, Yuan-Cheng; Huang, Nan-Ching淡江大學資訊工程學系IEEE2013 16th International Conference on Network-Based Information Systems (NBiS), pp.405-409Aortic aneurysm is caused by sclerosis of aortic wall. However, bad habits and chronic disease would be caused sclerosis of aortic wall. Therefore, bad habits and chronic diseases would possible affect aortic aneurysm, even after surgery. In this study, we used data mining to analyzed patient's history and lab data from pre-operation and post-operation to find the affect between aortic aneurysm and chronic disease. Then, we could be aimed difference of aortic aneurysm patient's chronic disease to let the patient to prevent or treat status early. Furthermore, it increased ao
5 102/1 資工系 葛煥昭 教授 會議論文 發佈 Using Decision Tree to Analyze Relation between Aortic Aneurysm and Chronic Diseases in Clinical Application , [102-1] :Using Decision Tree to Analyze Relation between Aortic Aneurysm and Chronic Diseases in Clinical Application會議論文Using Decision Tree to Analyze Relation between Aortic Aneurysm and Chronic Diseases in Clinical ApplicationChou, Kuang-Yi; Shih, Chun-Che; Keh, Huan-Chao; Yu, Po-Yuan; Cheng, Yuan-Cheng; Huang, Nan-Ching淡江大學資訊工程學系IEEE2013 16th International Conference on Network-Based Information Systems (NBiS), pp.405-409Aortic aneurysm is caused by sclerosis of aortic wall. However, bad habits and chronic disease would be caused sclerosis of aortic wall. Therefore, bad habits and chronic diseases would possible affect aortic aneurysm, even after surgery. In this study, we used data mining to analyzed patient's history and lab data from pre-operation and post-operation to find the affect between aortic aneurysm and chronic disease. Then, we could be aimed difference of aortic aneurysm patient's chronic disease to let the patient to prevent or treat status early. Furthermore, it increased ao
6 96/2 遠距教學發展組 季振忠 研究助理 會議論文 發佈 Concept-Based Pages Recommendation by Using Cluster Algorithm , [96-2] :Concept-Based Pages Recommendation by Using Cluster Algorithm會議論文Concept-Based Pages Recommendation by Using Cluster AlgorithmChi, Chen-Chung; Kuo, Chin-Hwa; Lu, Ming-Yuan; Tsao, Nai-Lung淡江大學學習與教學中心; 淡江大學資訊工程學系collaborative filtering;content filtering;recommendation systemAdvanced Learning Technologies, 2008. ICALT '08. Eighth IEEE International Conference on, pp.298-300In this research, we used a proxy server to search for information related to the userpsilas browsed Web pages. From the records of the proxy server we constructed a profile of the userpsilas browsing habits. At the end of the userpsilas search subsystem, we will use content based concept to extract keywords to obtain the articlepsilas characteristicspsila description. From the recommendation system, the Web pages will be classified using the hierarchical grouping method, and through collaborative filtering, the recommendation Web pages will be chosen to provide further readings for students language learning.tku_id: 00
7 81/1 英文系 陳秀潔 副教授 會議論文 發佈 Taiwanese graduate students' reading in a U.S. university: habits, problems, and implications , [81-1] :Taiwanese graduate students' reading in a U.S. university: habits, problems, and implications會議論文Taiwanese graduate students' reading in a U.S. university: habits, problems, and implications中國學生在美國大學之閱讀 : 習慣, 閱讀及推斷Chen, Hsiu-chieh淡江大學英文學系臺北市 : 文鶴出版公司Proceedings of the First International Symposium on English Teaching=第一屆中華民國英語文教學國際研討會論文集, pp.75-98中華民國英語文教師學會; 臺灣師範大學英語系This study is an attempt to examine Taiwanese graduate students' reading habits, problems, perspectives, and suggestions. Subjects were 30 students (13 major in natural sciences, and 17 in social sciences) from Taiwan studying at a major midwestern university in the United States. Materials were a questionnaire for interviews and four students' logs of reading difficulties. The results of the interviews and the students' logs indicate that reading for academic knowledge is their primary incentive for reading. Of the students 70 percent indicated that their level of reading competence to be "good," but they spent considera
8 96/2 資訊系 郭經華 教授 會議論文 發佈 Concept-Based Pages Recommendation by Using Cluster Algorithm , [96-2] :Concept-Based Pages Recommendation by Using Cluster Algorithm會議論文Concept-Based Pages Recommendation by Using Cluster AlgorithmChi, Chen-Chung; Kuo, Chin-Hwa; Lu, Ming-Yuan; Tsao, Nai-Lung淡江大學學習與教學中心; 淡江大學資訊工程學系collaborative filtering;content filtering;recommendation systemAdvanced Learning Technologies, 2008. ICALT '08. Eighth IEEE International Conference on, pp.298-300In this research, we used a proxy server to search for information related to the userpsilas browsed Web pages. From the records of the proxy server we constructed a profile of the userpsilas browsing habits. At the end of the userpsilas search subsystem, we will use content based concept to extract keywords to obtain the articlepsilas characteristicspsila description. From the recommendation system, the Web pages will be classified using the hierarchical grouping method, and through collaborative filtering, the recommendation Web pages will be chosen to provide further readings for students language learning.tku_id: 00
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