Recent Advances in Data Mining and Their Applications
This special issue belongs to the section "E1: Mathematics and Computer Science".
Special Issue Information
Dear Colleagues,
Data mining has developed ever since its invention in various specific fields dealing with raw data, media, geospatial, web, and text. Its potential has increased by hybridizing other subsymbolic algorithms, such as genetic algorithms. Data mining adds value in many practical fields, such as health, biology, and emergency situations, but its true power is expressed in the context of the Internet of Things.
The purpose of this Special Issue is to gather a collection of articles reflecting the latest developments in data mining and related fields, both in terms of practical and theoretical applications: Optimization methods parallel and distributed data mining algorithms, learning algorithms, knowledge discovery and extraction, image analysis, classification and clustering, heuristics and metaheuristics, soft computing, operation research, business analytics, and many others.
Contributions are welcome on both theoretical and practical models. The selection criteria will be based on the formal and technical soundness, experimental support, and the relevance of the contribution.
Prof. Dr. Oliviu Matei
Prof. Dr. Anca Andreica
Guest Editors
Manuscript Submission Information
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Keywords
- Optimization methods
- Probabilistic and statistical methods
- Parallel and distributed data mining algorithms
- Learning algorithms
- Feature extraction, selection, and dimensionality reduction
- Knowledge discovery and extraction
- Image analysis
- Classification and clustering
- Mining data streams, graphs, and complex data
- Mining semistructured data
- Spatial data mining
- Mining text, web, and social media
- Multimedia data mining
- Personalization and recommendation systems
- Data mining visualization
- Heuristics and metaheuristics
- Soft computing
- Computational complexity
- Process modeling
- Operation research
- Pattern recognition
- Uncertainty management
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Published Papers
Mathematics - ISSN 2227-7390