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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-
1.2. Data mining techniques in decision support systems. In order to make a decision, the managers need knowledge. In case of massive data amounts, issues may occur because of data analysis and necessary knowledge extract.Cited by: 14
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...
https://pdfs.semanticscholar.org/45ea/05c2075d8ca2ccc0ed0a46b4416a2125c22e.pdf
Integration data mining with decision support, involving joint data preprocessing, standards for model exchange, and meta-learning providing decision support when choosing best data mining tools for a given problem. The following tools, that can be used in integrating data mining and decision support: ...
http://www.cs.uky.edu/~goldsmit/cdm/DMCDSS.pdf
a large number of applications that have included both data mining and clinical decision support systems. Decision support systems refer to a class of computer-based systems that aids the process of decision making.6 Table 3.1 lists some examples of decision support systems that utilize data mining tools in healthcare settings.Cited by: 29
https://primeessays.com/samples/business/data-mining-and-decision-support-systems.html
Data mining and decision support systems are closely related in their functions. The process of data mining is an indispensable component of the decision support systems. Data keep on accumulating with the current advances in technology and competitiveness in businesses.
https://www.intechopen.com/books/decision-support-systems/data-mining-and-decision-support-an-integrative-approach
Data mining encompasses statistical, pattern recognition, and machine learning tools to support the analysis of data and discovery of principles that lie within data given. In the past decades several data mining methods have emerged, showing high potentials …Cited by: 1
https://writepass.com/journal/2012/12/a-review-of-how-data-mining-is-applied-to-decision-making/
Dec 07, 2012 · The subject matter Data mining is a very important tool that has helped in further creating new ideas and right decision making in business organization, government and also in the advancement of technology. And a review of how data mining is applied to …
http://dssresources.com/faq/index.php?action=artikel&id=39
DSS developers sometimes incorporate results from data mining into operational decision support systems (DSS). The data mining process involves identifying an appropriate data set to "mine" or sift through to discover data content relationships. Additional data mining tools include techniques like case-based reasoning, cluster analysis, data ...
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4288074/
We refer to the real time incorporation of external data into the workflow as dynamic clinical data mining (DCDM) (Figure 1 shows this mining). This process will drive the design of the next generation of EMRs, and it will subsequently support the next required stage of the digital transformation process by turning medical practice into a data ...
https://www.amazon.com/Data-Mining-Decision-Support-Collaboration-ebook/dp/B000VU46P4
Amazon.com: Data Mining and Decision Support: Integration and Collaboration (The Springer International Series in Engineering and Computer Science Book 745) eBook: David B. Fogel, Dunja Mladenic, Nada Lavrač, Marko Bohanec, Steve Moyle: Kindle StorePrice: $42.29
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