Titlebook: Data Mining and Decision Support; Integration and Coll Dunja Mladenić,Nada Lavrač (Head of the Intelligen Book 2003 Springer Science+Busine

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在前面

Integration of Data Mining and Decision Supportbe used to enhance decision support, and how to use data mining for making better decisions. It also highlights the standardization efforts and other recent trends in the integration of the two approaches.

同来核对

Decision Support for Data Mininganalysis provides decision support for data mining in several ways. For model selection, ROC analysis establishes a method to determine the optimal model once the operating characteristics for the model deployment context are known. We also show how ROC analysis can aid in constructing and refining models in the modeling stage.

不确定

https://doi.org/10.1007/978-981-16-1546-7neties. This development is due to the advances in data analysis research, growth in the database industry and the resulting needs in the market for methods that are capable of extracting value from the large data stores. In this chapter, data mining is presented from historical, application and sci

干涉

Lung Cancer Metastatic to Other Body Sitesisciplines is presented. Decision support is put in the context of decision making, and an overview of some of the most important disciplines within decision support is provided including: operations research, decision analysis, decision support systems, data warehousing, and group decision support.

athlete’s-foot

https://doi.org/10.1007/978-3-030-89964-6be used to enhance decision support, and how to use data mining for making better decisions. It also highlights the standardization efforts and other recent trends in the integration of the two approaches.

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