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Intelligent Data Processing and Management: Technologies and Applications

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

Deadline for manuscript submissions: 20 April 2025 | Viewed by 162

Special Issue Editors


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Guest Editor
School of Computer Science and Engineering, University of New South Wales, Sydney, NSW 2052, Australia
Interests: spatial-temporal data management; graph data analysis; big data analytics; stream processing and uncertain data management
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Computer Science and Engineering, University of New South Wales, Sydney, NSW 2052, Australia
Interests: graph data processing; distributed data processing; database systems
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
Interests: graph data processing; graph data analysis

E-Mail Website
Guest Editor
School of Software Engineering, East China Normal University, Shanghai 200241, China
Interests: spatial data management; blockchain; crowdsourcing

Special Issue Information

Dear Colleagues,

In the era of big data and artificial intelligence (AI), the efficient processing and management of vast, complex, and continuously growing datasets have become critical challenges for both academia and industry. Rapid advancements in machine learning, data mining, cloud computing, and distributed systems are transforming the landscape of data processing and management, allowing intelligent systems to handle large-scale data more effectively. However, the massive scale and complex variety in today’s data not only present significant challenges in scalability, security, efficiency, and accuracy but also create opportunities to leverage intelligent methods for deeper insights and innovation. This Special Issue seeks to present cutting-edge research that addresses these challenges by exploring innovative approaches to data processing, management techniques, and the integration of intelligent systems to optimize the entire data lifecycle. It will showcase recent advancements and applications in intelligent data processing, offering a comprehensive review of current approaches, methodologies, and technologies that address the complexities of modern data management.

We invite the submission of original research contributions in, but not limited to, AI-powered big data processing, AI-based data mining, intelligent data stream systems, AI-enhanced data security and privacy, AI-driven database systems, large language models (LLMs) in data management, graph data processing, spatial and temporal data analysis, scalable machine learning algorithms, advanced data mining techniques, and the application of modern techniques in data management. These advancements promise to reshape the field of data science, leading to more efficient and intelligent systems for the future.

Prof. Dr. Wenjie Zhang
Dr. Zhengyi Yang
Dr. Long Yuan
Dr. Peng Cheng
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

  • AI-driven data processing
  • big data analytics
  • machine learning for data management
  • scalable machine learning algorithms
  • intelligent data stream systems
  • AI-enhanced data security
  • AI-powered database systems
  • large language models (LLMs) in data management
  • graph data processing
  • spatial and temporal data analysis

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Published Papers

This special issue is now open for submission.
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