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Titlebook: Agents and Data Mining Interaction; 4th International Wo Longbing Cao,Vladimir Gorodetsky,Philip S. Yu Conference proceedings 2009 Springer

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發(fā)表于 2025-3-21 19:49:53 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Agents and Data Mining Interaction
期刊簡(jiǎn)稱4th International Wo
影響因子2023Longbing Cao,Vladimir Gorodetsky,Philip S. Yu
視頻videohttp://file.papertrans.cn/152/151234/151234.mp4
學(xué)科分類Lecture Notes in Computer Science
圖書封面Titlebook: Agents and Data Mining Interaction; 4th International Wo Longbing Cao,Vladimir Gorodetsky,Philip S. Yu Conference proceedings 2009 Springer
影響因子The2009InternationalWorkshoponAgentsandDataMiningInteraction(ADMI 2009) was a joint event with AAMAS2009. In recentyears,agents and data mining interaction (ADMI), or agent mining forshort,hasemergedasaverypromisingresearch?eld. Followingthesuccessof ADMI 2006 in Hong Kong, ADMI 2007 in San Jose, and ADMI 2008 in Sydney, the ADMI 2009 workshop in Budapest provided a premier forum for sharing research and engineering results, as well as potential challenges and prospects encountered in the synergy between agents and data mining. As usual, the ADMI workshop encouraged and promoted theoretical and applied research and development, which aims at: – Exploitingagent-drivendatamininganddemonstratinghowintelligentagent technology can contribute to critical data mining problems in theory and practice – Improving data mining-driven agents and showing how data mining can strengthen agent intelligence in research and practical applications – Exploring the integration of agents and data mining toward a super-intelligent information processing and systems – Identifying challenges and directions for future research on the synergy between agents and data mining ADMI 2009 featured two invited talks
Pindex Conference proceedings 2009
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Agent Assignment for Process Management: Pattern Based Agent Performance Evaluationed Pattern based Agent Performance Evaluation (PAPE) and is based on machine learning technique combined with post processing technique. We report on the result of our experiments and discuss issues and improvement of our approach.
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Culture Through a Clinical Lensnd false measurement replacement) and generate new control monitoring rules. Various classification algorithms are compared. The performance of the application, as tested via simulation experiments, is discussed.
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Culture, Governance and Globalizationapproach integrates traditional mathematical and data mining techniques with a multiagent system. The proposed system is used to build an intrusion detection system (IDS) as a network security application. Finally, experimental results are presented to confirm the good performance of the proposed system.
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