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From data to models and back = 10th ...

DataMod (International Symposium) (2021 :)

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From data to models and back = 10th International Symposium, DataMod 2021, virtual event, December 6-7, 2021 : revised selected papers /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	From data to models and back/ edited by Juliana Bowles, Giovanna Broccia, Roberto Pellungrini.
其他題名:	10th International Symposium, DataMod 2021, virtual event, December 6-7, 2021 : revised selected papers /
其他題名:	DataMod 2021
其他作者:	Bowles, Juliana.
團體作者:	DataMod (International Symposium)
出版者:	Cham :Springer International Publishing : : 2022.,
面頁冊數:	x, 193 p. :ill., digital ;24 cm.
內容註:	Invited Talks -- MultiVeStA: Statistical Analysis of Economic Agent-Based Models by Statistical Model Checking -- 10 Years of DataMod: the Synergy of Data-driven and Model-based Approaches -- Model Veriﬁcation -- Analysis and veriﬁcation of robustness properties in Becker-Dӧring model -- A Secure User-Centred Healthcare System: Design and Veriﬁcation -- Model-based Security Assessment on the Design of a Patient-centric Data Sharing Platform -- Model Checking Video Streams using VoxLogicA on GPU -- Data Mining and Processing Related Approaches -- Privacy Risk and Data Utility Assessment on Network Data -- Detecting Anxiety Trends Using Wearable Sensor Data in Real-world Situations -- Other Approaches -- Combining quantitative data with logic-based speciﬁcations for parameter inference -- Learning Program Input Grammars with Help from Abstract Syntax Trees -- Spatio-temporal model checking for 3D individual-based biofilm simulations -- A Web-based Tool for Collaborative Modelling and Analysis in Human-Computer Interaction and Cognitive Science.
Contained By:	Springer Nature eBook
標題:	Electronic data processing - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-031-16011-0
ISBN:	9783031160110

From data to models and back = 10th International Symposium, DataMod 2021, virtual event, December 6-7, 2021 : revised selected papers /
From data to models and back10th International Symposium, DataMod 2021, virtual event, December 6-7, 2021 : revised selected papers /[electronic resource] :DataMod 2021edited by Juliana Bowles, Giovanna Broccia, Roberto Pellungrini. - Cham :Springer International Publishing :2022. - x, 193 p. :ill., digital ;24 cm. - Lecture notes in computer science,132680302-9743 ;. - Lecture notes in computer science ;13268..

Invited Talks -- MultiVeStA: Statistical Analysis of Economic Agent-Based Models by Statistical Model Checking -- 10 Years of DataMod: the Synergy of Data-driven and Model-based Approaches -- Model Veriﬁcation -- Analysis and veriﬁcation of robustness properties in Becker-Dӧring model -- A Secure User-Centred Healthcare System: Design and Veriﬁcation -- Model-based Security Assessment on the Design of a Patient-centric Data Sharing Platform -- Model Checking Video Streams using VoxLogicA on GPU -- Data Mining and Processing Related Approaches -- Privacy Risk and Data Utility Assessment on Network Data -- Detecting Anxiety Trends Using Wearable Sensor Data in Real-world Situations -- Other Approaches -- Combining quantitative data with logic-based speciﬁcations for parameter inference -- Learning Program Input Grammars with Help from Abstract Syntax Trees -- Spatio-temporal model checking for 3D individual-based biofilm simulations -- A Web-based Tool for Collaborative Modelling and Analysis in Human-Computer Interaction and Cognitive Science.

This book constitutes the refereed proceedings of the 10th International Symposium "From Data Models and Back", DataMod 2021, which was held virtually during December 6-7, 2021, as a satellite event of SEFM 2021. The 9 full papers and 1 short paper included in this book were carefully reviewed and selected from 12 submissions. They were organized in topical sections as follows: Model veriﬁcation; data mining and processing related approaches; and other approaches.

ISBN: 9783031160110

Standard No.: 10.1007/978-3-031-16011-0doiSubjects--Topical Terms:

660077
Electronic data processing
--Congresses.

LC Class. No.: QA75.5 / .D37 2021

Dewey Class. No.: 004

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