關鍵字查詢 | 類別:期刊論文 | | 關鍵字:A Trend-based Prediction System for Web User Behavior

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序號 學年期 教師動態
1 96/1 軍訓室 張忠義 少校教官 期刊論文 發佈 A Trend-based Prediction System for Web User Behavior , [96-1] :A Trend-based Prediction System for Web User Behavior期刊論文A Trend-based Prediction System for Web User BehaviorJan, Nien-yi; Lin, Shun-chieh; Lin, Nancy P.; Chang, Chung-I淡江大學資訊工程學系;軍訓室Trend similarity;Prediction system;Web mining;User behavior;Sequence miningAthens: World Scientific and Engineering Academy and SocietyWSEAS Transactions on Advances in Engineering Education 5(1), pp.52-59Since web applications make great progress, the latency of Internet owing to the network bandwidth becomes an urge problem in the cyber world. It is very important to deliberate on how to construct a prediction model to predict web users traveling path for adapting the website structure and improving the website performance. A trend based prediction model without extra information is proposed in this paper to generate prediction models with a sequence of pages for a proxy server prefetcting the suitable pages. The trend similarity is the core of our proposed model which considers not only the page simila
2 96/1 資工系 林順傑 助理教授 期刊論文 發佈 A Trend-based Prediction System for Web User Behavior , [96-1] :A Trend-based Prediction System for Web User Behavior期刊論文A Trend-based Prediction System for Web User BehaviorJan, Nien-yi; Lin, Shun-chieh; Lin, Nancy P.; Chang, Chung-I淡江大學資訊工程學系;軍訓室Trend similarity;Prediction system;Web mining;User behavior;Sequence miningAthens: World Scientific and Engineering Academy and SocietyWSEAS Transactions on Advances in Engineering Education 5(1), pp.52-59Since web applications make great progress, the latency of Internet owing to the network bandwidth becomes an urge problem in the cyber world. It is very important to deliberate on how to construct a prediction model to predict web users traveling path for adapting the website structure and improving the website performance. A trend based prediction model without extra information is proposed in this paper to generate prediction models with a sequence of pages for a proxy server prefetcting the suitable pages. The trend similarity is the core of our proposed model which considers not only the page simila
3 96/1 資工系 詹念怡 講師 期刊論文 發佈 A Trend-based Prediction System for Web User Behavior , [96-1] :A Trend-based Prediction System for Web User Behavior期刊論文A Trend-based Prediction System for Web User BehaviorJan, Nien-yi; Lin, Shun-chieh; Lin, Nancy P.; Chang, Chung-I淡江大學資訊工程學系;軍訓室Trend similarity;Prediction system;Web mining;User behavior;Sequence miningAthens: World Scientific and Engineering Academy and SocietyWSEAS Transactions on Advances in Engineering Education 5(1), pp.52-59Since web applications make great progress, the latency of Internet owing to the network bandwidth becomes an urge problem in the cyber world. It is very important to deliberate on how to construct a prediction model to predict web users traveling path for adapting the website structure and improving the website performance. A trend based prediction model without extra information is proposed in this paper to generate prediction models with a sequence of pages for a proxy server prefetcting the suitable pages. The trend similarity is the core of our proposed model which considers not only the page simila
4 96/1 資工系 林丕靜 副教授 期刊論文 發佈 A Trend-based Prediction System for Web User Behavior , [96-1] :A Trend-based Prediction System for Web User Behavior期刊論文A Trend-based Prediction System for Web User BehaviorJan, Nien-yi; Lin, Shun-chieh; Lin, Nancy P.; Chang, Chung-I淡江大學資訊工程學系;軍訓室Trend similarity;Prediction system;Web mining;User behavior;Sequence miningAthens: World Scientific and Engineering Academy and SocietyWSEAS Transactions on Advances in Engineering Education 5(1), pp.52-59Since web applications make great progress, the latency of Internet owing to the network bandwidth becomes an urge problem in the cyber world. It is very important to deliberate on how to construct a prediction model to predict web users traveling path for adapting the website structure and improving the website performance. A trend based prediction model without extra information is proposed in this paper to generate prediction models with a sequence of pages for a proxy server prefetcting the suitable pages. The trend similarity is the core of our proposed model which considers not only the page simila
[第一頁][上頁]1[次頁][最末頁]目前在第 1 頁 / 共有 04 筆查詢結果