Advances in Machine Learning and Data Mining: Emerging Trends and Applications

Dear Colleagues,

Machine learning (ML) and data mining (DM) have significantly transformed various sectors by providing sophisticated techniques to analyze and extract valuable insights from vast datasets. As these technologies evolve, they offer new opportunities and challenges across diverse applications. The continued advancement in ML and DM is driven by emerging trends, innovative methodologies, and the need to address complex real-world problems. This Special Issue aims to explore these cutting-edge trends and their applications across various domains, reflecting these technologies' rapid progress and interdisciplinary impact.

This Special Issue's scope encompasses foundational advancements and practical applications of machine learning and data mining. We seek contributions highlighting novel approaches, theoretical advancements, and practical implementations. Topics of interest include but are not limited to emerging algorithms and models, applications across domains, interdisciplinary integration, data management and processing, and ethics and fairness.

Dr. Donghai Guan
Guest Editor

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.