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https://customuniversitypapers.com/2019/12/11/data-warehouses-decision-support-and-data-mining-essay/
Goals of Data Mining b. Data Mining Applications c. Standard data mining process d. CRISP-Data Mining process 7. Phases in the DM Process: CRISP-DM 8. Conclusion 9. References Chapter 1 Introduction Data warehousing is a collection of decision support technologies, aimed at enabling the knowledge workers such as executive, manager, analysts to ...
https://www.intechopen.com/books/advances-in-data-mining-knowledge-discovery-and-applications/improving-decision-support-systems-with-data-mining-techniques-
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://primeessays.com/samples/business/data-mining-and-decision-support-systems.html
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. This data represent activities that affect the business either in one way or another.
https://studymoose.com/data-warehouses-decision-support-and-data-mining-essay
This paper provides an overview of data warehousing and OLAP technologies by using back end tools for extracting, cleaning and loading data into a data warehouse; multidimensional data models typical of OLAP; front end client tools for querying and data analysis; server extensions for efficient query processing, with an emphasis on Applications for Data Warehouses such as Decision Support ...
https://www.academia.edu/Documents/in/Data_mining_in_Decision_Support_Systems
View Data mining in Decision Support Systems Research Papers on Academia.edu for free.
http://kt.ijs.si/nada_lavrac/Publications/JBI-2007-DataMiningAndVisualization.pdf
This paper describes an application of data mining and decision support in public health-care, carried out in Slove-nia within a project called MediMap. The goal of Medi-Map was to improve health-care knowledge management through data mining and decision support integration [3]. Data mining [4] is concerned with finding interesting pat-terns in data.
http://aircconline.com/ijcsit/V10N1/10118ijcsit02.pdf
Data mining has been successfully used in knowledge discovery for predictive purposes to make more active and accurate decision [11]. The main focus of the paper is on classification as well as clustering techniques. In clustering process such as K-means, EM, Fuzzy c-means, etc, data is
http://elib.bsu.by/bitstream/123456789/52534/1/58-61.pdf
ARCHITECTURE OF DECISION SUPPORT SYSTEMS FOR DATA MINING S. E. Gutnikov1,a, V. V. Krasnoproshin 1,b, V. A. Obraztsov1,c, ... The paper deals with problems relating to the development of decision-support ... Karpov L. E., Vatazin A. V. Data mining techniques and inference by precedents in medical decision support systems // Almanac of Clinical ...
https://pdfs.semanticscholar.org/5ff0/2f9b66a9720e29cdcdda8c12940d8dbb5c81.pdf
In this paper we propose Decision support system implementation for health care system with the use of decision support system. The system integrates the input data from relevant sources into an autonomous data warehouse, while the client front- end ensures adequate output presentation to …
https://www.sciencedirect.com/science/article/pii/S1877050916306263
Peer-review under responsibility of the Organizing Committee of CMS 2016 doi: 10.1016/j.procs.2016.05.276 ScienceDirect Available online at www.sciencedirect.com International Conference on Computational Modeling and Security (CMS 2016) Analysis of Data Mining Techniques For Healthcare Decision Support System Using Liver Disorder Dataset Tapas ...Cited by: 6
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