In recent years, software systems have gained the potential to gather data massively. In addition to traditional data sources that compel human interaction, IoT devices have emerged, extending the amount of available information and opening new implementation scopes.
The troves of information require versatile and innovative strategies to be organized, transmitted, and crossed with different sources to increase their meaning and usefulness. Sampling, transmission, data centralization, systems integration, and analysis are now accomplished using diverse approaches that are not always standard but effective and contribute to developing technical areas such as computer science, data sciences, statistics, and artificial intelligence.
The goal is to call for research and review articles as well as industrial reports on the latest advances in software approaches that cover new methods or algorithms to manage, cross-integrate, and obtain value from a large amount of data.
Submitted articles should be related to one or more of the following topics:
- Artificial Intelligence
- Business Analytics
- Cloud Computing
- Cross-platform data integration
- Data Analysis
- Data Science
- Decision Systems
- Enterprise Information Systems Applications
- IoT systems
- IT Architectures for Data Analysis
- Plugin development
In recent years, software systems have gained the potential to gather data massively. In addition to traditional data sources that compel human interaction, IoT devices have emerged, extending the amount of available information and opening new implementation scopes.
The troves of information require versatile and innovative strategies to be organized, transmitted, and crossed with different sources to increase their meaning and usefulness. Sampling, transmission, data centralization, systems integration, and analysis are now accomplished using diverse approaches that are not always standard but effective and contribute to developing technical areas such as computer science, data sciences, statistics, and artificial intelligence.
The goal is to call for research and review articles as well as industrial reports on the latest advances in software approaches that cover new methods or algorithms to manage, cross-integrate, and obtain value from a large amount of data.
Submitted articles should be related to one or more of the following topics:
- Artificial Intelligence
- Business Analytics
- Cloud Computing
- Cross-platform data integration
- Data Analysis
- Data Science
- Decision Systems
- Enterprise Information Systems Applications
- IoT systems
- IT Architectures for Data Analysis
- Plugin development
