Knowledge Engineering and Data Mining, 3rd Edition

Dear Colleagues,

Extracting knowledge from data is a fundamental process in the creation of intelligent information retrieval systems, decision support, and knowledge management. This Special Issue welcomes the submission of research that addresses data mining methods, multidimensional data analysis, supervised and unsupervised learning methods, methods of knowledge base management, language ontologies, ontology learning, and others. We encourage you to present novel algorithms and work on practical solutions, i.e., applications/systems presenting the real-world application of the proposed research achievements.

The Special Issue covers the entire process of knowledge engineering, from data acquisition and data mining to knowledge extraction and exploitation. This Special Issue therefore encourages researchers to contribute to a collective effort that promotes the comprehension of trends and future questions in the field of knowledge engineering and data mining. Topics include, but are not limited to, the following:

• knowledge acquisition and engineering;
• data mining methods;
• big knowledge analytics;
• data mining, knowledge discovery, and machine learning;
• knowledge modeling and processing;
• knowledge acquisition and engineering;
• query and natural language processing;
• data and information modeling;
• data and information semantics;
• data-intensive applications;
• knowledge representation and reasoning;
• decision support systems;
• decision-making;
• group decision-making;
• rules mining;
• outliers mining;
• data exploration;
• data science;
• semantic web data and linked data;
• ontologies and controlled vocabularies;
• data acquisition;
• multidimensional data analysis;
• artificial intelligence and knowledge management;
• knowledge representation in artificial intelligence;
• supervised and unsupervised learning methods;
• parallel processing and modeling;
• languages based on parallel programming and data mining.

Dr. Agnieszka Konys
Prof. Dr. Agnieszka Nowak-Brzezińska
Guest Editors

Manuscript Submission Information

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