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 2961
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
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Keywords
- machine learning
- business operations
- sustainability
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