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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
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 decision support systems employing ...Cited by: 29
https://pdfs.semanticscholar.org/45ea/05c2075d8ca2ccc0ed0a46b4416a2125c22e.pdf
Key Points: Data Mining, Decision Support, Operation Flow, Uses of Data Mining, Data Preparation, and Data Mining Tools. I. INTRODUCTION DSS must allow users to intuitively, quickly, and flexibly manipulate data using familiar terms, in order to provide analytical insight. Data mining
https://www.inderscience.com/info/inarticle.php?artid=101399
Jul 31, 2019 · A support system for effectively deciding the desired grinding wheel was built by using a decision tree technique, which is one of the data-mining techniques. As a result, a visualisation process was proposed in correspondence to the action of the grinding wheel elements and their factors to the material characteristics of the workpiece material.
https://www.researchgate.net/publication/326070980_Decision_Support_System_of_Scholarship_Grantee_Selection_using_Data_Mining
Decision Support System of Scholarship Grantee Selection using Data Mining Article (PDF Available) in International Journal of Pure and Applied Mathematics 119(15) · June 2018 with 3,353 Reads
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...
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