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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
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://pdfs.semanticscholar.org/45ea/05c2075d8ca2ccc0ed0a46b4416a2125c22e.pdf
Source: From Secondary Data 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.nyu.edu/classes/jcf/g22.3033-002/slides/session2/BuildingDataCubesAndMiningThem.pdf
6 Building Data Cubes Using Analyses Manager Scenario: Imagine that you are a database administrator working for the FoodMart corporation. FoodMart is a large grocery store chain with sales in the United States, Mexico, and Canada. The marketing department wants to analyze all of the sales by products and customers that were made
https://journals.lww.com/cinjournal/Pages/articleviewer.aspx?year=2016&issue=10000&article=00009&type=Fulltext
Several data-mining models have been embedded in the clinical environment to improve decision making and patient safety. Consequently, it is crucial to survey the principal data-mining strategies currently used in clinical decision making and to determine the disadvantages and advantages of using these strategies in data mining in clinical decision making.
https://www.intechopen.com/books/decision-support-systems/data-mining-and-decision-support-an-integrative-approach
In the past decades several data mining methods have emerged, showing high potentials for knowledge discovery from data and decision support. Performing analysis through data mining follows an inductive approach of analyzing data where machine learning algorithms are applied to extract non-obvious knowledge from data (Jsr73, 2004).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 decision making is an important focus of this research work.
https://link.springer.com/chapter/10.1007%2F978-0-387-38319-4_3
Data mining is a process of pattern and relationship discovery within large sets of data. The context encompasses several fields, including pattern recognition, statistics, computer science, and database management. Thus the definition of data mining largely depends on the point of …Cited by: 29
http://dssresources.com/faq/index.php?action=artikel&id=39
Ask Dan! about DSS: from DSSResources ... 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 ...
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