Exploring AI: Methods and Applications for Data Mining

Dear Colleagues,

With the advancement of 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 increasingly involves 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 a data mining approach 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 in 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

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