Applications of Machine Learning in Data Management

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: closed (20 February 2024) | Viewed by 284

Special Issue Editors

College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
Interests: data analysis; software engineering; deep learning
State Key Laboratory for Novel Software and Technology, Software Institute, Nanjing University, Nanjing 210093, China
Interests: software engineering; data mining; machine learning

Special Issue Information

Dear Colleagues,

Data have nowadays become the core assets of modern society. Machine learning (ML) techniques have been widely applied to data management practices in recent years. This Special Issue aims to provide a venue for disseminating recent advances in the theory and applications of machine learning techniques in the field of data management. Specifically, the topics of prospective submissions include but are not limited to: (ML-enabled) data processing, data analysis, data governance, data mining, data warehouse, data security and protection. We cordially invite authors to submit papers presenting original contributions or high-quality surveys in the relevant fields.

Prof. Dr. Yu Zhou
Dr. Jidong Ge
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 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. Applied Sciences 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

  • machine learning
  • data management
  • data analysis
  • artificial intelligence
  • data governance
  • data mining
  • data warehouse
  • data security and protection

Published Papers

There is no accepted submissions to this special issue at this moment.
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