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Open Access Research: Computer Science & Data Structures

EPJ Data ScienceNew Content Item

Editors-in-Chief:
Frank Schweitzer, ETH Zurich, Switzerland
Alessandro Vespignani, Northeastern University, Boston, MA, USA

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This journal covers a broad range of research areas and applications and particularly encourages contributions from techno-socio-economic systems, where it comprises those research lines that now regard the digital “tracks” of human beings as first-order objects for scientific investigation.

Featured article: A scalable method to quantify the relationship between urban form and socio-economic indexes


Data Science and EngineeringNew Content Item

Editors-in-Chief:
Jianzhong Li, Harbin Institute of Technology, China
Elisa Bertino, Purdue University, USA
Society Affiliations:
The China Computer Federation (CCF) 
Nanjing Sinovatio Technology Co. Ltd

The journal aims to offer a prime forum for researchers, professionals, and industrial practitioners to share their knowledge in this rapidly growing area. It provides in-depth coverage of the latest advances in the closely related fields of data science and data engineering.

Featured article: Using Node Identifiers and Community Prior for Graph-Based Classification


Journal of Big DataNew Content Item

Editors-in-Chief:
Borko Furht, Florida Atlantic University, USA
Taghi Khoshgoftaar, Florida Atlantic University, USA
Society Affiliations:
The China Computer Federation (CCF)
Nanjing Sinovatio Technology Co. Ltd

The Journal of Big Data publishes high-quality, scholarly research papers, methodologies and case studies covering a broad range of topics, from big data analytics to data-intensive computing and all applications of big data research.

Featured article: Understanding deep learning via backtracking and deconvolution


Journal of the Brazilian Computer SocietyNew Content Item

Editor-in-Chief: Mike G. Hinchey, Lero- The Irish Software Research Centre, University of Limerick, Ireland
Society Affiliation: Sociedade Brasileira de Computação

The Journal of Big Data publishes high-quality, scholarly research papers, methodologies and case studies covering a broad range of topics, from big data analytics to data-intensive computing and all applications of big data research.

Featured article: Running resilient MPI applications on a Dynamic Group of Recommended Processes