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Titlebook: Agents and Data Mining Interaction; 10th International W Longbing Cao,Yifeng Zeng,Philip S. Yu Conference proceedings 2015 Springer Interna

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發(fā)表于 2025-3-21 19:01:21 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Agents and Data Mining Interaction
期刊簡稱10th International W
影響因子2023Longbing Cao,Yifeng Zeng,Philip S. Yu
視頻videohttp://file.papertrans.cn/152/151232/151232.mp4
發(fā)行地址Includes supplementary material:
學(xué)科分類Lecture Notes in Computer Science
圖書封面Titlebook: Agents and Data Mining Interaction; 10th International W Longbing Cao,Yifeng Zeng,Philip S. Yu Conference proceedings 2015 Springer Interna
影響因子.This book constitutes the thoroughly refereed and revised selected papers from the 10th International Workshop on Agents and Data Mining Interactions, ADMI 2014, held in Paris, France, in May 2014 as satellite workshop of AAMAS 2014, the 13th International Conference on Autonomous Agents and Multiagent Systems..The 11 papers presented were carefully reviewed and selected from numerous submissions for inclusion in this volume. They present current research and engineering results, as well as potential challenges and prospects encountered in the respective communities and the coupling between agents and data mining..
Pindex Conference proceedings 2015
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https://doi.org/10.1007/978-3-030-77892-7gents’ perspective, interactive dynamic influence diagrams?(I-DIDs) provide a general framework for sequential multiagent decision making in uncertain settings. Most of the current I-DID research focuses on the setting of . agents, which limits its general applications. This paper extends I-DIDs for
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Yeshe Colliver,Libby Lee-Hammond components and combines them; while other groups of people are responsible for developing these components. The “accessories library” consists of these relative independent functional components which are abstracted from various simulation cases. Therefore, we propose the “accessories library” and
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Jacob Klitm?ller,Sarah K. Jensen performance. Existing methods in the field of software engineering do not adequately address the unpredictable and complex nature of intelligent agents. We introduce a generic methodology for evaluating agent performance; the Agent Performance Evaluation (APE) methodology consists of representation
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https://doi.org/10.1007/978-3-030-60296-3of each web service is based on the non-functional properties of its interactions with other web services from the same community. We exploit various clustering and anomaly detection techniques to analyze and identify the quality patterns provided by each service. This enables the master of each com
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https://doi.org/10.1007/978-3-030-86080-6lement in the storytelling, the diversity prolongs the story life and elicits interests on interpreting the story. In this paper, we investigate the narrative diversity given that the storytelling process is modelled by Bayesian networks. Bayesian networks structure causal relations between variable
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