![]() ![]() It is a fairly complete version of SAS and includes unlimited access to SAS Institute's online training courses. It may not be used for administrative needs of the University. The SAS Education Analytical Suite is licensed to faculty and staff for teaching and research purposes only.Base SAS, including SAS/SECURE functionality.The University of Delaware licenses SAS Education Analytical Suite, which includes the products:.Students, including those hired as graduate teaching assistants or graduate research assistants are not eligible to sublicense these copies for their personally-owned systems.SAS may also be installed on UD-owned systems used ( not owned) by students. The PCs must be UD-owned or maintained, or owned by UD faculty and staff (including post-docs).SAS may be sub-licensed by UD departments for faculty, staff and departmental systems.It may not be used for administrative purposes. ![]() SAS may be used for teaching and research.Visit the Remote Computer Labs support site for details on accessing this service Eligibility The software may be used for faculty and student classwork, but may not be used for research. Grid computing, in-database and in-memory processing options.This software is available in Remote Computer Labs, which can be used through your web browser.The Java client and the SAS server architecture both scale from single-user to large enterprise solutions.Incorporate time series, Web paths and associations rules as additional input variables into the model development process.Integrate text mining for analysis of both structured and unstructured data.Interactive editor features for training and score code.Extension node for easily adding tools and personalized SAS code.Integrate SAS Enterprise Miner training and scoring processes directly into other SAS solutions.Deploy models in multiple environments.Score SAS Enterprise Miner models directly inside Aster, EMC Pivotal (previously Greenplum), IBM DB2, IBM Netezza, Oracle and Teradata databases with SAS Scoring Accelerator.Score data based on models saved as PMML documents (experimental).Automatically generates score code in SAS, C, Java and PMML.Interactive scoring in a variety of real-time or batch environments.Macro can also be used for registering models developed with SAS code into the SAS Metadata Server.Register Model node provides integrated environment for model registration into the SAS Metadata Server.Interactive environment for comparing and contrasting competing models and assessing the importance of key input variables on the predicted response times.Group processing for multiple targets and segments.Innovative Cutoff node examines to determine probability cutoff point(s) for binary targets.Highly visual model comparison interface.Assessment features for comparing multiple models using lift curves, statistical diagnostics and ROI metrics.Model comparisons, reporting & management Ability to score the training data with an option to save the scored data set.Produces concise reports, including variable importance charts, lift charts, ROC charts and model scorecards, for easy consumption and review. ![]()
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