Data Mining and Machine Learning
A section of Big Data and Cognitive Computing (ISSN 2504-2289).
Section Information
Aims:
The Data Mining and Machine Learning Section focuses on the algorithms and techniques for discovering patterns, extracting knowledge, and building predictive models from data. This Section aims to showcase research that advances the state-of-the-art in learning from data, from both a theoretical and an applied perspective. It emphasizes the entire process, from data pre-processing and feature engineering to the application of sophisticated learning algorithms to uncover hidden insights and facilitate data-driven decision-making.
Scope:
This Section covers the analytical pipeline for knowledge discovery. Key topics include the following:
- Machine Learning and Deep Learning: Supervised, unsupervised, semi-supervised, and reinforcement learning algorithms; neural network architectures.
- Data Mining: Pattern discovery, association rule learning, clustering, anomaly detection, and outlier analysis.
- Data Search and Mining: Efficient algorithms for searching and mining large-scale datasets.
- Big Data Analytics: Scalable analytics platforms and techniques for very large datasets.
- Applications of ML/DM in medicine, biology, industry, security, education, and recommendation systems.
Editorial Board
Special Issues
Following special issues within this section are currently open for submissions:
- Machine Learning Applications in Natural Language Processing (Deadline: 20 May 2026)
- AI and Data Science in Sports Analytics (Deadline: 30 June 2026)
- Advances in Graph Learning and Representation Models for Complex Network Analysis (Deadline: 30 June 2026)
- Machine Learning Methodologies and Applications in Cybersecurity Data Analysis (Deadline: 31 August 2026)
- Natural Language Processing and Large-Scale Semantic Data Mining for Business Performance and Strategic Decision-Making (Deadline: 11 September 2026)
- Application of Pattern Recognition and Machine Learning (Deadline: 25 September 2026)
- Application of Machine and Deep Learning in Cyber-Physical Systems (CPSs) (Deadline: 30 September 2026)
- Machine Learning and Image Processing: Applications and Challenges (Deadline: 30 September 2026)
- Beyond Diagnosis: Machine Learning in Prognosis, Prevention, Healthcare, Neurosciences, and Precision Medicine (Deadline: 1 November 2026)
- Advances in Natural Language Processing and Text Mining: 2nd Edition (Deadline: 31 December 2026)
- Natural Language Processing and Text Analysis in Social Media (Deadline: 6 January 2027)
- Theories and Applications on Data Mining in Graph Neural Networks (Deadline: 21 April 2027)
- Machine Learning and Artificial Intelligence for Multimedia and Image Understanding (Deadline: 28 May 2027)
- Text Mining and Big Data Analysis (Deadline: 16 June 2027)
