Machine Learning Applications in Business
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Economic and Business Aspects of Sustainability".
Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 2676
Special Issue Editors
Interests: machine learning; artificial intelligence; operations; metaheuristics
Special Issue Information
Dear Colleagues,
We invite research papers for publication in a special issue of the Sustainability journal (for the section on Economic and Business Aspects of Sustainability) on “Machine Learning Applications in Business.” Many problems in business apply machine learning algorithms to find good solutions. Businesses face problems in many domains including supply-chain management, logistics management, inventory management, transportation management, quality management, financial management, sales and marketing management, managerial accounting management etc. Machine learning techniques include Neural Networks (Supervised, Unsupervised, Semi-supervised, Hybrid), Deep Learning, Inductive learning, Deductive learning, Ensemble learning, Genetic Algorithms, NeuroGenetic algorithms, Support Vector Machines, decision trees etc. These techniques can be applied to a variety of tasks such as classification, clustering, optimization, curve fitting, text processing, image processing etc. in many different domains in business. Articles selected for publication must demonstrate successful application of some machine learning approach on some business problem. Preference will be given to an application that involves sustainability issues.
Prof. Dr. Anurag Agarwal
Mr. Sungil Kim
Guest Editors
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. Sustainability 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 2400 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.
Keywords
- machine learning
- business operations
- sustainability
