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Decision Support Systems is a monthly peer-reviewed scientific journal covering research on theoretical and technical advancements in decision support systems, including topics such as foundations, functionality, interfaces, implementation, impacts, and evaluation.
A decision support system (DSS) is an information system that supports business or organizational decision-making activities. DSSs serve the management, operations and planning levels of an organization (usually mid and higher management) and help people make decisions about problems that may be rapidly changing and not easily specified in advance—i.e., unstructured and semi-structured ...
An intelligent decision support system (IDSS) is a decision support system that makes extensive use of artificial intelligence (AI) techniques. Use of AI techniques in management information systems has a long history – indeed terms such as "Knowledge-based systems" (KBS) and "intelligent systems" have been used since the early 1980s to describe components of management systems, but the term ...
An executive information system (EIS), also known as an executive support system (ESS), [1] is a type of management support system that facilitates and supports senior executive information and decision-making needs. It provides easy access to internal and external information relevant to organizational goals.
He is a founding member of the Leuven Institute for Research in Information Systems (LIRIS), and a member of the ACM and the IEEE Computer Society. [2] As of 2017, Vanthienan served on the Editorial Advisory Board for the peer-reviewed Elsevier journal Decision Support Systems. [3]
William H. Inmon (born 1945) is an American computer scientist, recognized by many as the father of the data warehouse. [1] [2] Inmon wrote the first book, held the first conference (with Arnie Barnett), wrote the first column in a magazine and was the first to offer classes in data warehousing.
A clinical decision support system (CDSS) is a health information technology that provides clinicians, staff, patients, and other individuals with knowledge and person-specific information to help health and health care. CDSS encompasses a variety of tools to enhance decision-making in the clinical workflow.
She made fundamental contributions in the areas of fuzzy transfer learning, concept drift, data-driven decision support systems, and recommender systems. From 2004 to 2006, she was associate professor, since 2007 she has a full professorship in the Faculty of Engineering and Information Technology at the University of Technology. [1] [3]