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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. Data is analyzed through an automated process, known as Knowledge Discovery in data mining techniques.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
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://www.researchgate.net/topic/Decision-Support-Systems
Dec 31, 2019 · That said, a distinction between Decision Support Systems (DSS) and Decision Making Systems (DMS) is that the former supports a human decision maker in …
https://www.journals.elsevier.com/decision-support-systems/
The common thread of articles published in Decision Support Systems is their relevance to theoretical and technical issues in the support of enhanced decision making. The areas addressed may include foundations, functionality, interfaces, implementation, impacts, and evaluation of decision support systems (DSSs).
http://dssresources.com/faq/index.php?action=artikel&id=39
What is not always clear is how data mining is related to building decision support systems. Some commentators imagine we should provide managers with a data mining tool and let them mine data until they have thoroughly understood the relationships that are "hidden" in the data set. This vision doesn't seem too fruitful or too desirable.
https://primeessays.com/samples/business/data-mining-and-decision-support-systems.html
Therefore, decision support systems utilise the technology of data mining to help people solve the problem of making complex decisions (Claire, 1997). Data mining and decision support systems have been successfully applied in different areas including pharmaceutical companies, banks, and …
https://healthitanalytics.com/news/the-difference-between-clinical-decision-support-big-data-analytics
Aug 31, 2017 · August 31, 2017 - Healthcare organizations have a lot of options to choose from when it comes to leveraging their growing big data assets.. From population health platforms and supply chain management tools to clinical decision support and business intelligence systems, there is no shortage of health IT companies offering their latest and greatest products to help alleviate some of the many ...
https://www.sciencedirect.com/science/article/pii/S0167923609001377
Modeling wine preferences by data mining from physicochemical properties. ... The use of decision support systems by the wine industry is mainly focused on the wine production phase ... with research interests in the fields of personalized information systems, marketing information systems and data mining. He his the author of the book ...Cited by: 775
https://www.intechopen.com/books/decision-support-systems/data-mining-and-decision-support-an-integrative-approach
We are presenting historical generations of data mining, data mining standards, data mining process model (CRISP-DM) and provide motivation for its use in practice. In Section 4 we are going to proceed to our case study of using data mining in a decision support system developed for …Cited by: 1
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