This JIIS Special Issue aims 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 include automata, agents, Petri nets, process algebras and rewriting systems. Application domains include 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
Computational Systems Biology: Inference and Modelling provides an introduction to, and overview of,...
Computational systems biology involves integrating heterogeneous datasets in order to generate model...
Recently, the interplay of disciplines involved in data science, most notably statistics and compute...
This JIIS Special Issue aims at bringing together contributions from academia, industry and research...
DataMod 2020 aims to bring together practitioners and researchers from academia, industry and resear...
DataMod 2016 aims at bringing together practitioners and researchers from academia, industry and res...
International audienceThis issue consists of a selection of papers presented at the first meeting on...
This special journal issue of Advances in Complex Systems presents a collection of papers describing...
This book presents a comprehensive and up-to-date treatise of a range of methodological and algorith...
This volume presents theoretical developments, applications and computational methods for the analys...
This volume presents theoretical developments, applications and computational methods for the analys...
At University Montpellier 2, the modeling and simulation of complex systems has been identified as a...
In the special issue on computational intelligence (CI) and complex systems a plethora of approaches...
Computational methods offer new problem solving and analysis techniques that play a key role in adva...
Nowadays, modern complex systems of any interdisciplinary nature can hardly be analyzed and/or model...
Computational Systems Biology: Inference and Modelling provides an introduction to, and overview of,...
Computational systems biology involves integrating heterogeneous datasets in order to generate model...
Recently, the interplay of disciplines involved in data science, most notably statistics and compute...
This JIIS Special Issue aims at bringing together contributions from academia, industry and research...
DataMod 2020 aims to bring together practitioners and researchers from academia, industry and resear...
DataMod 2016 aims at bringing together practitioners and researchers from academia, industry and res...
International audienceThis issue consists of a selection of papers presented at the first meeting on...
This special journal issue of Advances in Complex Systems presents a collection of papers describing...
This book presents a comprehensive and up-to-date treatise of a range of methodological and algorith...
This volume presents theoretical developments, applications and computational methods for the analys...
This volume presents theoretical developments, applications and computational methods for the analys...
At University Montpellier 2, the modeling and simulation of complex systems has been identified as a...
In the special issue on computational intelligence (CI) and complex systems a plethora of approaches...
Computational methods offer new problem solving and analysis techniques that play a key role in adva...
Nowadays, modern complex systems of any interdisciplinary nature can hardly be analyzed and/or model...
Computational Systems Biology: Inference and Modelling provides an introduction to, and overview of,...
Computational systems biology involves integrating heterogeneous datasets in order to generate model...
Recently, the interplay of disciplines involved in data science, most notably statistics and compute...