Application of Big Data Mining and Analysis
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 15 November 2025 | Viewed by 1130
Special Issue Editors
Interests: social media analytics; hypergraph learning
Interests: dynamic graph neural networks; spatiotemporal data analysis; urban computing; learning analytics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue, entitled “Application of Big Data Mining and Analysis”, by the journal Electronics, aims to showcase cutting-edge research and innovations in the field of big data analytics. It will serve as a pivotal platform for researchers and practitioners to explore the vast potential of big data technologies in various domains such as online social networks, social computing, healthcare, finance, telecommunications, and more. The focus will be on novel methodologies, data processing techniques, and the practical implications of data mining and analysis to address complex problems and enhance decision-making processes.
We welcome contributions that cover advanced algorithms, machine learning models, and system optimizations that improve the efficiency and accuracy of big data analysis. This Special Issue will also consider papers that discuss the ethical, privacy, and security challenges associated with big data practices. By bringing together a diverse range of studies, this Special Issue aims to foster a deeper understanding of how big data can be effectively exploited to drive innovation and transform data into actionable insights.
Through a rigorous peer-review process, this Special Issue seeks to publish high-quality, original research articles, comprehensive reviews, and case studies that push the boundaries of knowledge in big data applications. It will also provide a forum for discussing future research directions and the evolving landscape of big data technologies.
Dr. Xiangguo Sun
Dr. Yu Yang
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. 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
- big data analytics
- data mining techniques
- machine learning algorithms
- data privacy and ethics
- system optimization
- decision support systems
- scalable computing frameworks
- data security
- real-time data processing
- cross-domain applications
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