Special Issue Call for Papers

This special issue of International Journal of Applied Mathematics and Computer Science (https://www.amcs.uz.zgora.pl) on Computational Intelligence in Data Mining and Machine Learning deals with the importance of computational intelligence (CI) paradigms in data mining and knowledge discovery.

Scope of the Issue

The issue focuses on various techniques of computational intelligence including hybrid methods. Application of these techniques is today considered as a key success factor in processing big data sets, designing decision support systems, mining data streams and recognizing patterns in big data. Majority of papers in this issue concerns methods of knowledge representation using different techniques, namely the rough sets, fuzzy sets, Bayesian networks, multi-agent systems etc. Next various neural network architectures are presented and their learning algorithms are derived. Moreover, the family of evolutionary algorithms is discussed, in particular the classical genetic algorithm, evolutionary strategies and genetic programming, including connections between these techniques and neural networks and fuzzy systems. Finally the bio-inspired techniques like ant colony optimization, particle swarm optimization and others are presented and combined in solutions of different data mining tasks.

Potential topics of research include, but are not limited to:

• methods in pattern recognition, clustering, classification and regression
• nature-inspired techniques in machine learning and data mining
• data analysis methods combined with rough sets, fuzzy sets, Bayesian networks and artificial neural networks
• multi-agent in data mining and knowledge discovery
• multiple learning models
• incremental and batch-based learning
• hybrid and ensemble techniques
• active and semi-supervised learning strategies
• interactive learning
• intelligent data preprocessing
• models and methods for big data analysis
• adaptive and evolving learning methodologies for big data analysis
• data stream mining
• visualization of data
• parallel and distributed methods for knowledge discovery

Guest Editors (and Contact Guest Editors)

• Urszula Boryczka, University of Silesia, Poland - urszula.boryczka@us.edu.pl
• Ireneusz Czarnowski, Gdynia Maritime University, Poland - i.czarnowski@wpit.am.gdynia.pl
• Mikhail Moshkov, King Abdullah University of Science and Technology, Saudi Arabia

Important dates

Submission deadline: TBA
Acceptance notification: TBA
Final paper due: TBA
Publication: 2015

Paper submission

Papers must be prepared in accordance with journal standards and guidelines (https://www.amcs.uz.zgora.pl/?action=guide). Papers should be about 15 pages long (in journal format). Submitted papers should be original, not previously published, and not under consideration for publication elsewhere. The submission should meet high quality journal manuscripts, in terms of research results, edition quality, the English. Papers will be reviewed following the journal’s regular procedure. Poorly written manuscripts will not be considered for review.

The submission of papers should be done online at: TBA