Recent Advances in Big Data-Driven Prescriptive Analytics

A special issue of Big Data and Cognitive Computing (ISSN 2504-2289).

Deadline for manuscript submissions: 30 June 2024 | Viewed by 287

Special Issue Editors

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Guest Editor
Centre for Industrial Software, The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, 6400 Sønderborg, Denmark
Interests: big data; intelligent transport systems; XAI and Generative AI; ontology engineering
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Intelligent Transportation Systems Lab, Institute of Computer Science, University of Tartu, 51009 Tartu, Estonia
Interests: intelligent transportation systems; applied machine learning; computer vision; mobility modeling; data mining

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Guest Editor
Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology (NTUST), Taipei, Taiwan
Interests: mobile service and platform design; application development of computational intelligence; distributed computing (edge/cloud computing)

Special Issue Information

Dear Colleagues,

We are pleased to announce this Special Issue entitled “Recent Advances in Big Data-Driven Prescriptive Analytics”, which is part of the MDPI journal Big Data and Cognitive Computing.

Traditionally, descriptive analytics have been strongly associated with passive data collection activities like reporting, performance monitoring, and dashboards. In recent years, business and social practices have digitized with the evolution of new enabling technologies such as artificial intelligence (AI), machine learning (ML), deep learning (DL), distributed ledger technology (DLT), and 6G, to name but a few. These supporting technologies, grounding the concept of prescriptive analytics, strive for relentless efficiency and business agility to address new revenue opportunities and to meet or exceed customer expectations through a superior experience.

The ultimate goal is to attain a new level of automation and intelligence to achieve automated end-to-end services, better known as zero-touch systems, efficiently and seamlessly, that is, to provide an adequate ecosystem of services, infrastructure, and capabilities to achieve fully integrated Self-X life cycle operations (self-serving, self-fulfilling, and self-assuring).

Original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • Collection and analysis of big data;
  • Advanced AI for prescriptive systems (explainable AI, generative AI, etc.);
  • Digital ethics for prescriptive systems;
  • Big data fusion technology;
  • Machine learning technologies and applications (federated learning, active learning, etc.);
  • Deep learning technologies and applications;
  • Zero-touch systems and architectures;
  • Distributed computing for prescriptive systems;
  • Intelligent transport prescriptive systems;
  • Intrusion detection for prescriptive systems;
  • Edge computing for prescriptive systems;
  • Large language models for prescriptive models;
  • Futuristic paradigms for advanced use cases: adopting blockchain, quantum computing, etc.

Prof. Dr. Sadok Ben Yahia
Dr. Amnir Hadachi
Prof. Dr. Jenq-Shiou Leu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at 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. Big Data and Cognitive Computing is an international peer-reviewed open access monthly 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.


  • big data
  • data-driven approaches
  • advanced AI techniques
  • prescriptive approaches

Published Papers

This special issue is now open for submission.
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