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Computational modelling and data-driven techniques for systems analysis

Academic Article
Publication Date:
2019
abstract:
This JIIS Special Issue aimed at bringing together contributions from academia, industry and research institutions interested in the combined application of computational modelling methods with data-driven techniques from the areas of knowledge management, data mining and machine learning. Modelling methodologies of interest included automata, agents, Petri nets, process algebras and rewriting systems. Application domains included social systems, ecology, biology, medicine, smart cities, governance, education, software engineering, and any other field that deals with complex systems and large amounts of data.
Iris type:
01.01 Articolo in rivista
Keywords:
Automata; Agents; Petri nets; Process algebras; Rewriting systems
List of contributors:
Trasarti, Roberto
Authors of the University:
TRASARTI ROBERTO
Handle:
https://iris.cnr.it/handle/20.500.14243/379894
Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/379894/56583/prod_422750-doc_150367.pdf
Published in:
JOURNAL OF INTELLIGENT INFORMATION SYSTEMS
Journal
  • Overview

Overview

URL

https://link.springer.com/content/pdf/10.1007/s10844-019-00554-z.pdf
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