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https://www.researchgate.net/profile/Moath_Awawdeh/publication/275715041_MATLAB_GUI_for_Data_Mining_and_DSS_Project_scope/links/5544ec360cf23ff716869731/MATLAB-GUI-for-Data-Mining-and-DSS-Project-scope.pdf
6 1. Data mining and Decision Support System 1.1 Introduction Knowledge discovery (KD), demonstrates intelligent computing at its best, and is the most desirable and interesting end product of ...
https://www.intechopen.com/books/advances-in-data-mining-knowledge-discovery-and-applications/improving-decision-support-systems-with-data-mining-techniques-
1.3. The process of developing a DSS using data mining techniques. Developing Decision Support Systems involves time, high-costs and human resources efforts and the success of the system can be affected by many risks like: system design, data quality, and technology obsolescence.Cited by: 14
https://healthitanalytics.com/news/the-difference-between-clinical-decision-support-big-data-analytics
Aug 31, 2017 · Each type of big data analytics builds off the previous competency to transform raw data into a roadmap for future action. Without a firm grasp on all three levels of analytics, providers cannot begin to engage in clinical decision support. What is a clinical decision support system?
https://www.springer.com/gp/book/9781402073885
Data mining deals with finding patterns in data that are by user-definition, interesting and valid. It is an interdisciplinary area involving databases, machine learning, pattern recognition, statistics, visualization and others. Decision support focuses on developing systems to help...
http://dssresources.com/faq/index.php?action=artikel&id=39
Ask Dan! about DSS: from DSSResources.com: What is data mining and how is it related to DSS? ... It is appropriate for a trained decision support or data analyst to work with data mining tools to prepare decision support special studies, but most managers won't have the …
http://www.cs.uky.edu/~goldsmit/cdm/DMCDSS.pdf
3.1 lists some examples of decision support systems that utilize data mining tools in healthcare settings. A typical decision support system consists of five components: the data management,the model management,the knowledge engine,the user inter-face, and the user(s).7 One of the major differences between decisionCited by: 29
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