Intelligent Data Analysis and Learning
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 31 January 2025 | Viewed by 99
Special Issue Editors
Interests: machine learning; software engineering; legal intelligence; biomedical computation
Special Issues, Collections and Topics in MDPI journals
Interests: natural language processing; text mining; data-centric AI; health informatics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Intelligent data are data that have been processed and refined for building intelligent systems. This Special Issue on “Intelligent Data Analysis and Learning” will explore the latest advancements and applications in the field of data quality with regard to data-driven artificial intelligence We invite original research papers, reviews, and case studies that delve into innovative techniques for analysing, learning, and interpreting intelligent data. Topics of interest include, but are not limited to, data quality evaluation and assurance, data security and privacy, high-dimensional data analysis, high-dimensional data reduction learning, in-context learning in deep learning, and the evaluation of large language models and their applications across various domains such as healthcare, finance, and software engineering. Our goal is to provide a comprehensive platform for researchers and practitioners to share insights, methodologies, and experiences that push the boundaries of intelligent data analysis and learning. This Special Issue will highlight cutting-edge research that not only advances our shared theoretical understanding but also demonstrates practical utility in solving real-world problems, fostering an interdisciplinary approach to data-driven discovery and innovation.
Prof. Dr. Junhua Ding
Dr. Haihua Chen
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at mdpi.longhoe.net 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. Electronics 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 2400 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.
Keywords
- intelligent data
- data quality
- data-driven artificial intelligence
- large language model
- deep learning
- data security and privacy
- in-context learning
- high-dimensional data analysis
- high-dimensional data reduction learning
