Big Data and Databases
A special issue of Knowledge (ISSN 2673-9585).
Deadline for manuscript submissions: closed (30 November 2022) | Viewed by 4847
Special Issue Editors
Interests: machine learning; artificial intelligence; e-learning; programming languages
Special Issues, Collections and Topics in MDPI journals
Interests: data analysis; predictive analytics; deep learning; machine learning; artificial intelligence
Special Issue Information
Dear Colleagues,
In recent decades, the Big Data phenomenon has produced a technological change that has been reflected in the development of new information processing tools and in new types of computer systems. In this sense, there are two areas of work that have undergone an important evolutionary change. On the one hand, information storage technologies have been affected. Thus, alternatives have emerged to the relational model that has prevailed in recent decades. These alternatives receive the generic name of NoSQL Databases, and are characterized by being databases that generally run in distributed environments and where there is no schema for the data, thus offering great flexibility. On the other hand, another area that has evolved has been data analytics. In this area, the use of artificial intelligence has been employed and more specifically machine learning techniques to perform information analysis and obtain valuable information such as patterns, information classifications or predictions.
The objective of this Special Issue is to serve as a meeting point for all those researchers who are working in these fields both theoretical and applied. The topics of interest would be (although limited to):
- Challenges of Big Data;
- NoSQL Databases;
- New SQL;
- New data warehouses;
- Big Data and health;
- Big Data and marketing;
- Massive data processing;
- Application of artificial intelligence to information processing;
- Big Data and data analysis. Fields of application.
Both review articles on the state of the art and experimental or theoretical articles are welcome.
Dr. Antonio Sarasa-Cabezuelo
Dr. David Villaseca-Morales
Dr. Covadonga Diez Sanmartin
Guest Editors
Manuscript Submission Information
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Keywords
- Big Data
- NoSQL databases
- Machine Learning
- new SQL
- Artificial Intelligence
- Business Intelligence
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