Advances in Data Mining and Its Applications
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 15 October 2025 | Viewed by 304
Special Issue Editor
Special Issue Information
Dear Colleagues,
The field of data mining has emerged as an essential discipline for identifying patterns and relationships from vast and complex datasets. The integration of artificial intelligence (AI), machine learning (ML), and deep learning (DL) techniques has further advanced the data mining field by addressing challenges in diverse domains such as healthcare, finance, social media, cybersecurity, education, energy, manufacturing, and more. The growth of the data generated by the latest digital technologies, including IoT devices, sensors, online interactions, and cloud-based services, has increased the need for data mining approaches to handle large-scale and high-dimensional datasets. Recent advancements in data mining have expanded its effectiveness in real-world applications by developing predictive models, deep learning integration, automated feature extraction, and data visualization and mining. It also enables researchers and practitioners to build decision-making applications, improve prediction accuracy, and optimize business processes. Moreover, the increasing focus on big data analytics, data privacy, data augmentation, and data processing has opened new opportunities for research.
The aim of this Special Issue is to attract the latest research and recent developments related to data mining and its applications. Furthermore, the development and implementation of data mining algorithms in different domains is the main focus of this Special Issue.
Original research articles and reviews are welcome. Research areas may include, but are not limited to, the following:
- Innovative Data Mining Techniques: development of new algorithms and enhancement to the existing methods.
- Big Data Management and Analysis: strategies and tools for managing and processing large-scale datasets.
- Artificial Intelligence and Machine Learning: applications of AI and ML techniques to identify hidden patterns, association mining, and building predictive models.
- Ethics, Privacy, and Security in Data Mining: innovative solutions for maintaining data security and privacy.
- Practical Applications of Data Mining: real-world case studies demonstrating the impact of data mining across domains such as healthcare, education, marketing, cybersecurity, energy management, and others.
- Decision Support Systems: design and implementation of data-driven systems to assist organizations in making informed decisions.
- Energy Efficiency in Data Mining: methods for optimizing the energy consumption of households and industries.
We look forward to receiving your contributions.
Dr. Farrukh Saleem
Guest Editor
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
- data mining
- machine learning
- data visualization
- big data analytics
- text mining
- social media analysis
- predictive models
- internet of things
- cloud computing
- data privacy and security
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
