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[Other resourceSAS

Description: sas教程 SAS数据挖掘技术的实现 作为智能型的数据挖掘集成工具,SAS/EM的图形化界面、可视化操作可引导用户(即使是数理统计经验不太多的用户)按SEMMA原则成功地进行数据挖掘,用户只要将数据输入,经过SAS/EM运行,即可得到一些分析结果。有经验的专家还可通过修改数据调整分析处理过程。
Platform: | Size: 3906 | Author: bakey | Hits:

[AlgorithmSAS

Description: sas教程 SAS数据挖掘技术的实现 作为智能型的数据挖掘集成工具,SAS/EM的图形化界面、可视化操作可引导用户(即使是数理统计经验不太多的用户)按SEMMA原则成功地进行数据挖掘,用户只要将数据输入,经过SAS/EM运行,即可得到一些分析结果。有经验的专家还可通过修改数据调整分析处理过程。
Platform: | Size: 4096 | Author: bakey | Hits:

[BooksDataMiningUsingSasEnterpriseMinerACaseStudyApproac

Description: SAS软件EM模块教程Data Mining Using Sas Enterprise Miner - A Case Study Approach-SAS software module EM tutorial Data Mining Using Sas Enterprise Miner- A Case Study Approach
Platform: | Size: 1415168 | Author: | Hits:

[Industry researchem_covariances

Description: Using SAS/IML : This code uses the EM algorithm to estimate the maximum likelihood (ML) covariance matrix and mean vector in the presence of missing data. This implementation of the EM algorithm or any similar ML approach assumes that the data are missing completely at random (MCAR) or missing at random (MAR: see Little & Rubin, 1987).-Using SAS/IML : This code uses the EM algorithm to estimate the maximum likelihood (ML) covariance matrix and mean vector in the presence of missing data. This implementation of the EM algorithm or any similar ML approach assumes that the data are missing completely at random (MCAR) or missing at random (MAR: see Little & Rubin, 1987).
Platform: | Size: 9216 | Author: jpsartre | Hits:

[AI-NN-PREM-NN

Description: 神经网络在sas中的应用,简单易懂,需要请下载!-Application of Neural Network sas in, easy to understand, you need to download!
Platform: | Size: 3585024 | Author: lyy | Hits:

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