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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://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
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://www.coursehero.com/file/22025130/CIS3380-FoodmartAssignmentandInstructions/
Apr 18, 2017 · CIS 3380 Foodmart Exercise Mining Business Intelligence From a Large Operational Database Task 1: Open the Foodmart4a.mdb with Access then Update the Products Table as follows 1. Open the ‘Customers’ table 2. Go to the last record in the table 3. Replace the following data elements: Field Name Current Value NEW Value AnnualIncome *** your name here *** Your First & Last Name 4.
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://www.sciencedirect.com/science/article/pii/S1877042813003595
Procedia - Social and Behavioral Sciences 73 ( 2013 ) 388 – 395 1877-0428 2013 The Authors. Published by Elsevier Ltd. Selection and peer-review under responsibility of The 2nd International Conference on Integrated Information doi: 10.1016/j.sbspro.2013.02.066 The 2nd International Conference on Integrated Information An Adjusted Decision Support System through Data Mining …Cited by: 22
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://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.
http://www.blog-geographica.com/2016/11/15/how-data-mining-is-used-to-generate-business-intelligence/
Business applications trust on data mining software solutions; due to that, data mining tools are today an integral part of enterprise decision-making and risk management in a company. In this point, acquiring information through data mining alluded to a Business Intelligence (BI). How data mining is used to generate Business Intelligence
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