Application of Data Mining in Decision Support Systems (DSSs)
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 31 August 2025 | Viewed by 658
Special Issue Editors
Interests: data mining; machine learning; database systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are pleased to announce a Special Issue on the “Application of Data Mining in Decision Support Systems (DSSs)” for an upcoming edition of Electronics. In recent years, data mining (DM) has emerged as a key technology to extract valuable insights from large datasets, and its integration with decision support systems has proven to be transformative in many domains.
This Special Issue highlights the importance of applying data mining techniques to enhance decision support systems across diverse domains, including healthcare, finance, marketing, e-government, transportation, and beyond. Data mining can automate complex decision processes, offer real-time insights, and help uncover hidden relationships in data that traditional approaches often overlook. With increasing reliance on data-driven strategies, the potential for improvement in decision making is enormous, making this research highly relevant and timely.
Original research articles and reviews are welcome for submission in this Special Issue. Research areas may include (but are not limited to) the following:
- Integration of machine learning and data mining methods with DSSs;
- Predictive analytics and decision making in DSSs;
- Big data analytics for decision support;
- Applications of data mining in healthcare, finance, supply chain, marketing, transportation, and e-government;
- Data-driven decision models and frameworks;
- Real-time decision making with data mining techniques;
- Challenges and future directions for data mining in DSSs.
We look forward to receiving your contributions.
Prof. Dr. Yanwei Yu
Dr. Guiyuan Jiang
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
- data mining
- decision support systems
- predictive analytics
- machine learning
- big data analytics
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