Big Data and Databases
A special issue of Knowledge (ISSN 2673-9585).
Deadline for manuscript submissions: closed (30 November 2022) | Viewed by 3410
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
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
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Knowledge is an international peer-reviewed open access quarterly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Big Data
- NoSQL databases
- Machine Learning
- new SQL
- Artificial Intelligence
- Business Intelligence