Special Issue "Applied Data Mining"
Deadline for manuscript submissions: closed (30 June 2021) | Viewed by 7293
Interests: machine learning; data mining; artificial intelligence; pattern recognition; evolutionary computation and their application to classification; regression; forecasting and optimization problems
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Data mining as a process of extracting patterns and knowledge from large amounts of data is one of the most exciting fields in computer science and statistics. Over the past few decades, data mining has become an entrenched part of everyday life and has been successfully used to solve practical problems. Data mining techniques have been widely applied to problems in industry, science, engineering, business, finance, medicine, biology, and many other domains. Application success has led to an explosion in demand for novel data mining technologies addressed for different types of data, such as time series, sequences, streams, text and hypertext, spatial, spatiotemporal, and multimedia data, visual data, biological data, etc.
This Special Issue focuses on applied work addressing real-world problems and systems demonstrating the tangible impact in their respective domains. Application papers are expected describing designs and implementations of solutions and systems for practical tasks in data mining, data analytics, data science, and applied machine learning in a diverse range of fields and problems. Papers should report substantive results on a wide range of data mining technics, discussing problems and methods, critical comparisons with existing techniques, and interpretation of results. Specific attention will be given to recently developed data mining methods. Potential topics include but are not limited to data mining applications for:
- Financial data analysis;
- Retail industry;
- Telecommunication industry;
- Power systems;
- Scientific and statistical applications;
- Software engineering and computer system analysis;
- Medicine and healthcare;
Prof. Dr. Grzegorz Dudek
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
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. Electronics 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 2200 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.
- data mining
- data analytics
- data science
- applied machine learning