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From Data to Models and Back -

From Data to Models and Back

11th International Symposium, DataMod 2023, Eindhoven, The Netherlands, November 6–7, 2023, Revised Selected Papers
Buch | Softcover
X, 165 Seiten
2025
Springer International Publishing (Verlag)
978-3-031-87216-7 (ISBN)
CHF 164,75 inkl. MwSt
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This book constitutes the refereed proceedings of the 11th International Symposium on From Data to Models and Back, DataMod 2023, held in Eindhoven, The Netherlands during November 6-7, 2023.

 The 8 full papers presented were carefully reviewed and selected from 10 submissions. They were organized in topical sections as follows: domain-specific modeling and analysis; system biology; formal methods in healthcare; and natural language processing.

.- Domain specific Modeling and Analysis.

.- Integrated Data Representation and Formal Analysis for Human and In Silico Experimentation in Cognitive Psychology.

.- Probabilistic Model Checking of Temporal Interaction Dynamics in the Supreme Court.

.- Extracting cyber threat intelligence from social media with case studies in Twitter/X and Reddit.

.- System Biology.

.- Attractor and Slicing Analysis of a T Cell Differentiation Model Based on Reaction Systems.

.- Preliminary Results on Shapley Value Notions and Propagation Methods for Boolean Networks.

.- Formal Methods in Healthcare.

.- Towards a Flexible Approach for Understanding and Comparing Traces.

.- Modelling and Verification of an Application for Managing Sensitive Health Data.

.- Natural Language Processing.

.- Evaluating Large Language Models and Prompt Variants on the Task of Detecting Cease and Desist Violations in German Online Product Descriptions.

Erscheinungsdatum
Reihe/Serie Lecture Notes in Computer Science
Zusatzinfo X, 165 p. 40 illus., 14 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Mathematik / Informatik Informatik Software Entwicklung
Schlagworte cyber security • formal analysis • formal modeling • Game Theory • LLM • Model Checking • Optimization • Prompt Engineering • social network analysis
ISBN-10 3-031-87216-9 / 3031872169
ISBN-13 978-3-031-87216-7 / 9783031872167
Zustand Neuware
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