Big Data and Information Science Technology

Dear Colleagues,

The digital age has brought about an unprecedented surge in data, leading to the emergence of big data and information science technology. The integration and use of big data technologies is of utmost importance within information science. This can be furthered by highlighting innovative research and applications in data science across various fields such as business, healthcare, education, and more. In doing so, we aim to revolutionize decision-making processes and offer unprecedented insights.

This Special Issue seeks to showcase original research articles and reviews on themes including big data analytics, machine learning, artificial intelligence for data management, real-time data processing, and data security in big data. By exploring these topics, we aim to contribute to the ongoing discourse on the potential of big data and information science technology to transform various sectors.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but not limited to) the following:

• Predictive analytics and machine learning algorithms for big data;
• Data mining and knowledge discovery in large-scale datasets;
• Natural language processing and text mining in big data;
• Visualization techniques for big data analysis and exploration;
• Big data-driven decision support systems and applications;
• Scalable and distributed computing frameworks for big data processing;
• Privacy-preserving techniques in big data analytics;
• Real-time stream processing and analytics for big data;
• Big data integration, fusion, and interoperability;
• Ethical and legal considerations in the era of big data.

We look forward to receiving your contributions.

Dr. Enrico Corradini
Dr. Francesco Cauteruccio
Dr. Luca Virgili
Guest Editors

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 250 words) can be sent to the Editorial Office for assessment.

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.