Exploring AI: Methods and Applications for Data Mining: 2nd Edition
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 January 2027 | Viewed by 1223
Editors
Interests: data mining; machine/deep learning; big data analysis in healthcare
Special Issues, Collections and Topics in MDPI journals
Interests: deep learning; big data; artificial intelligence; image recognition; financial statistics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With advancements in ICT technology introducing new technologies, such as mobile technology, IoT, and sensors, organizations are now faced with an environment where they generate and utilize vast and diverse types of big data. While traditional data analysis has focused on hypothesis verification based on correlations between structured data, the big data era is increasingly involving the discovery and verification of hypotheses considering both structured and unstructured data.
Artificial intelligence (AI) technology, particularly methods derived from machine learning and the rapidly developing area of deep learning, is gaining attention as a powerful tool for such big data analyses. These new AI technologies are being applied across various fields, offering solutions to problems previously unsolvable by humans, and have become significant both academically and industrially.
As a result, AI has become a crucial element in maintaining sustainable competitiveness for various stakeholders and is an area of keen interest to many researchers.
This Special Issue will explore creative analytical models and generate innovative results using big data analysis and data mining approaches grounded in new AI technologies.
Topics of interest for this Special Issue include, but are not limited to, the following:
- AI systems for business applications;
- Big data analytics of customer behavior;
- Data mining in healthcare and forensic science;
- AI-based image reconstruction and recognition technology;
- Machine learning applications for financial market predictions;
- Novel methods in big data analytics;
- Text mining applications.
Dr. Sukjun Lee
Dr. Jae Joon Ahn
Guest Editors
Manuscript Submission Information
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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
- business AI systems
- customer behavior analytics
- healthcare and forensic data mining
- AI-based image reconstruction and recognition
- machine learning for financial predictions
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