Title: Data science and decision analytics.
Authors: Chen, Victoria C.P.; Kim, Seoung Bum
Abstract: This article, published in the Annals of Operations Research, focuses on the integration of methods and concepts between operations research, data science, and decision analytics. The research papers in this special volume aim to enhance decision-making capabilities by combining the strengths of these fields. The volume includes 26 papers that cover a range of topics, including real-world challenges, general methodological advances, and applications in business, industry, and healthcare. The papers present new methods and approaches that are motivated by specific problems and utilize techniques such as machine learning, clustering, and data envelopment analysis. The article expresses gratitude to the referees, the editor-in-chief, and the publishers for their contributions to the special volume.
Subjects: FAILURE mode & effects analysis; COMPUTATIONAL linguistics; ONLINE social networks; ROUGH sets; GROUP decision making; BIDDERS
Publication: Annals of Operations Research, 2024, Vol 341, Issue 1, p1
ISSN: 0254-5330
Publication type: Academic Journal
DOI: 10.1007/s10479-024-06272-2

Data science and decision analytics.

Chen, Victoria C.P.; Kim, Seoung Bum