Special Issue "Big Data: Multidimensional Design and Modeling"
Deadline for manuscript submissions: closed (31 March 2022) | Viewed by 1259
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Big Data refers to great volumes of data, which generate and transfer very rapidly, and are too unstructured for the traditional information systems to handle. In less than a decade, Big Data has been established as a fundamental and essential component of information systems and, especially, decision-support systems. The combination of Big Data and Data Mining has created new business opportunities and new solutions to difficult problems.
Big Data usually relies on relational and non-relational data models. However, the existing paradigms for data modelling are neither sufficient in quantity nor suitable to deal with Big Data requirements. The volume, velocity, and variety of Big Data demand new modelling techniques and frameworks to be able to cope with the challenges of Big Data. For that reason, it is essential to rethink the existing modelling approaches, and either enhance the existing ones or develop new ones.
The purpose of this Special Issue is to compile a collection of scientific papers addressing the latest developments and efforts in the modelling of Big Data by the research community. Papers combining a high academic standard coupled with a practical focus on the field are welcomed.
Prof. Dr. Sergio Luján-Mora
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. Mathematics is an international peer-reviewed open access semimonthly 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 1800 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.
- Conceptual, Logical and Physical Design of Big Data
- Metadata and Applications in Big Data
- Big Data Warehousing
- Big Data Mining
- Modeling of NoSQL databases