Nowadays, there are several technologies and systems to collect data in real-time. Consequently, the amount of data available electronically is huge, making the use of semi-autonomous techniques imperative to create new knowledge and support the decision-making process. In this context arises the Data Science concept.  

DS4IDS intends to promote the discussion and disseminate emergent trends, new projects, and contributions about applied data science to support the decision process. Researchers from distinct areas are expected to present new artefacts with scientific and societal contributions by bringing together.

Submission Guidelines

Authors are requested to submit papers reporting original research results and experience. The page limit for full papers is 8 pages and for short articles is 6 pages. Papers should be prepared using the IEEE two-column template. Author Guidelines are available at the Conference Publishing Services (CPS): https://www.computer.org/web/cs-cps/.

​Submitted research papers may not overlap with papers that have already been published or that are simultaneously submitted to a journal or a conference with proceedings. 

In order to submit your paper, click on the link to the EasyChair submission system: https://easychair.org/conferences/?conf=ds4idsficloud2021.

List of Topics

• Applied Data Science (to various domains, e.g. health, medicine, marketing, government, accounting, financing, management);
• Big Data;
• Business Intelligence;
• Cloud Computing;
• Data and Text Mining;
• Data architectures and Data Engineering;
• Decision Support;
• Information Retrieval;
• Intelligent Data analysis and visualization solutions;
• Intelligent Decision Support Systems;
• Interoperability;
• Knowledge-based solutions;
• Machine-Learning;
• Mobile and ubiquitous solutions;
• Multi-Agent systems;
• Online-Learning;
• Ontologies;
• Pervasive Systems;
• Predictive Analytics;
• Sensor-based systems;
• Solutions to create knowledge and support the decision (e.g. Healthcare; Finances; Education; Government);
• Streaming data;
• Web-Based solutions.

Committees

Program Committee

• TBA

Organizing committee

• Filipe Portela (University of Minho, Portugal)
• Manuel Filipe Santos (University of Minho, Portugal)

Publication

All papers accepted for this conference will be published in the conference proceedings by the Conference Publishing Service (CPS). Conference content will be submitted for inclusion into IEEE Xplore as well as other Abstracting and Indexing (A&I) databases.

The authors of the best papers will be invited to submit their work to SCI journals. The list of journal(s) will be available soon.

Contact

All questions about submissions should be emailed to cfp@dsi.uminho.pt.