Recent Advances in Data Mining and Their Applications

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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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 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.