DataMod 2016 aims at bringing together practitioners and researchers 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. Papers can present research results in any of the themes of interest for the symposium as well as application experiences, tools an...
International audienceThis book constitutes the refereed proceedings of the 4th International Confer...
In this paper, we summarize the discussions of the panel on Advances in Data Modeling Research, he...
International audienceIn the age of “Data Science and Advanced Analytics”, we are witnessing a race ...
DataMod 2016 aims at bringing together practitioners and researchers from academia, industry and res...
DataMod 2020 aims to bring together practitioners and researchers from academia, industry and resear...
This JIIS Special Issue aims at bringing together contributions from academia, industry and research...
At University Montpellier 2, the modeling and simulation of complex systems has been identified as a...
Final Report of the ModSysC2020 Working Group at University Montpellier 2At University Montpellier 2...
The project was aimed at exploring the possibilities of a new paradigm in modelling - data-driven mo...
International audienceIn this chapter, we present two main approaches for modeling complex systems, ...
International audienceData and models are two well established communities that are continuously con...
International audienceThis book constitutes the refereed proceedings of the 6th International Confer...
International Conference on Machine Learning Techniques and Data Science (MLDS 2020) December 19 ~ 2...
A presentation on the use of community-based models, such as Data Stewarship and Data Champions prog...
After vivid discussions led by the emergence of the buzzword “Big Data”, it seems that industry and ...
International audienceThis book constitutes the refereed proceedings of the 4th International Confer...
In this paper, we summarize the discussions of the panel on Advances in Data Modeling Research, he...
International audienceIn the age of “Data Science and Advanced Analytics”, we are witnessing a race ...
DataMod 2016 aims at bringing together practitioners and researchers from academia, industry and res...
DataMod 2020 aims to bring together practitioners and researchers from academia, industry and resear...
This JIIS Special Issue aims at bringing together contributions from academia, industry and research...
At University Montpellier 2, the modeling and simulation of complex systems has been identified as a...
Final Report of the ModSysC2020 Working Group at University Montpellier 2At University Montpellier 2...
The project was aimed at exploring the possibilities of a new paradigm in modelling - data-driven mo...
International audienceIn this chapter, we present two main approaches for modeling complex systems, ...
International audienceData and models are two well established communities that are continuously con...
International audienceThis book constitutes the refereed proceedings of the 6th International Confer...
International Conference on Machine Learning Techniques and Data Science (MLDS 2020) December 19 ~ 2...
A presentation on the use of community-based models, such as Data Stewarship and Data Champions prog...
After vivid discussions led by the emergence of the buzzword “Big Data”, it seems that industry and ...
International audienceThis book constitutes the refereed proceedings of the 4th International Confer...
In this paper, we summarize the discussions of the panel on Advances in Data Modeling Research, he...
International audienceIn the age of “Data Science and Advanced Analytics”, we are witnessing a race ...