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Titlebook: Active Media Technology; 6th International Co Aijun An,Pawan Lingras,Runhe Huang Conference proceedings 2010 Springer-Verlag Berlin Heidelb

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期刊全称Active Media Technology
期刊简称6th International Co
影响因子2023Aijun An,Pawan Lingras,Runhe Huang
视频video
学科分类Lecture Notes in Computer Science
图书封面Titlebook: Active Media Technology; 6th International Co Aijun An,Pawan Lingras,Runhe Huang Conference proceedings 2010 Springer-Verlag Berlin Heidelb
影响因子This book constitutes the refereed proceedings of the 6th International .Conference on Active Media Technology, AMT 2010, held in Toronto, Canada, in August 2010. .The 52 revised full papers and 2 invited talks were carefully reviewed and selected for inclusion of the book. They are grouped in topcial sections on active computer systems and intelligent interfaces; adaptive Web sysetms and information foraging agents; AMT for semantic Web and Web 2.0; data mining, ontology mining and Web reasoning; e-commerce and Web services; entertainment and social applications of active media; .evaluation of active media and AMT based systems; intelligent information retrieval; machine learning and human-centered robotics; multi-agent systems; multi-modal processing, detection, recognition, and expression analysis; semantic computing for active media and AMT-based systems; smart digital media; Web-based social networks; and Web mining, wisdom Web and Web intelligence..
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书目名称Active Media Technology影响因子(影响力)




书目名称Active Media Technology影响因子(影响力)学科排名




书目名称Active Media Technology网络公开度




书目名称Active Media Technology网络公开度学科排名




书目名称Active Media Technology被引频次




书目名称Active Media Technology被引频次学科排名




书目名称Active Media Technology年度引用




书目名称Active Media Technology年度引用学科排名




书目名称Active Media Technology读者反馈




书目名称Active Media Technology读者反馈学科排名




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Approximating Markov Processes by Averaging. Empirical studies show that an importance index is applied to the titles of four annual conferences about data mining field as sets of documents. After extracting the temporal patterns of automatically extracted terms, we compared the linear trends of the technical terms among the titles of one conference.
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Automata, Languages and Programming Interface (UI) alters automatically as the customer profile changes. This recommender system combines collaborative filtering and non-collaborative filtering methods in order to come up with useful and unique suggestions for each customer.
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The Measurement Process in Domain Theoryle model to a Web Search Engine shows that our approach can accurately capture user’s multiple interests at the semantic level, and thus the personalized search performance is significantly improved compared with the state-of-the-art approaches.
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Church-Rosser Languages vs. UCFL can be extracted from them. We then provide 3 mini case studies to illustrate how actionable insights for community managers can be gained by applying the network analysis metrics and visualizations available in the free, open source NodeXL tool, which is a powerful, yet easy-to-use tool embedded in Excel 2007/2010.
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Automata, Languages and Programmingonalization and scalability requirements for Web-scale data processing. We illustrate how user interests can be used to refine literature search on the Web. Evaluation from the scalability point of view shows that the proposed method provides a practical way to Web-scale problem solving.
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