Computational modelling and data-driven techniques for systems analysis

Stan Matwin; Luca Tesei; Roberto Trasarti

doi:10.1007/s10844-019-00554-z

Computational modelling and data-driven techniques for systems analysis

Stan Matwin, Luca Tesei, Roberto Trasarti

Engineering

科研成果: 期刊稿件 › 社论 › 同行评审

1 引用（Scopus）

源语言	英语
页（从-至）	473-475
页数	3
期刊	Journal of Intelligent Information Systems
卷	52
期	3
DOI	https://doi.org/10.1007/s10844-019-00554-z
出版状态	已出版 - 6月 15 2019

!!!ASJC Scopus Subject Areas

软件
信息系统
硬件和架构
计算机网络与通信
人工智能

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10.1007/s10844-019-00554-z

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引用此

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title = "Computational modelling and data-driven techniques for systems analysis",

author = "Stan Matwin and Luca Tesei and Roberto Trasarti",

note = "Funding Information: Acknowledgements DataMod 2016 and this work were supported by the Future and Emerging Technologies (FET) program within the Seventh Framework Programme (FP7) for Research of the European Commission, under the FET-Proactive grant agreement TOPDRIM (http://www.topdrim.eu), number FP7-ICT-318121. This work was also supported by the European Community{\textquoteright}s H2020 Program under the scheme “INFRAIA-1-2014-2015: Research Infrastructures”, grant agreement n. 654024 “SoBigData: Social Mining & Big Data Ecosystem” (http://www.sobigdata.eu).",

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AU - Tesei, Luca

AU - Trasarti, Roberto

N1 - Funding Information: Acknowledgements DataMod 2016 and this work were supported by the Future and Emerging Technologies (FET) program within the Seventh Framework Programme (FP7) for Research of the European Commission, under the FET-Proactive grant agreement TOPDRIM (http://www.topdrim.eu), number FP7-ICT-318121. This work was also supported by the European Community’s H2020 Program under the scheme “INFRAIA-1-2014-2015: Research Infrastructures”, grant agreement n. 654024 “SoBigData: Social Mining & Big Data Ecosystem” (http://www.sobigdata.eu).

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