SAS Products

SAS Enterprise Miner 6.1, now available, delivers numerous enhancements to SAS data mining customers. A file import node provides easy access to a broad range of input source types. Extended summary statistics for input variables are also generated to aid analysts in defining variable roles and identifying upfront data errors and trends during the data source definition process. Powerful LARS and LASSO variable selection methods have been implemented. Interactive decision-tree users can now model multiple targets for multi-objective segmentation strategy building and predictive modeling. The Reporter node includes new graphics for delivering analysis-ready report journals, and the new Model Viewer application allows data miners to share models. Extended model deployment capabilities include market-basket scoring, native scoring in Teradata, and optimized scoring code. To learn more, read What's New in SAS Enterprise Miner 6.1.

System Requirements at a Glance

• All Online Documentation for SAS Enterprise Miner
• Most Used SAS Documentation for SAS Enterprise Miner
  • Getting Started with SAS Enterprise Miner 5.3
    PDF (4.81MB) |   Purchase book
  • SAS Enterprise Miner 6.1 Extension Nodes: Developer's Guide
  • SAS Enterprise Miner 6.1: Migration Guide
• SAS Press Books
  • Analyzing Receiver Operating Characteristic Curves with SAS
  • Credit Risk Scorecards: Developing and Implementing Intelligent Credit Scoring
  • CRM Segmentation and Clustering Using SAS Enterprise Miner
  • Data Preparation for Analytics Using SAS
  • Decision Trees for Business Intelligence and Data Mining: Using SAS Enterprise Miner
  • Introduction to Data Mining Using SAS Enterprise Miner
  • Predictive Modeling with SAS Enterprise Miner: Practical Solutions for Business Applications
• All SAS Enterprise Miner titles in online bookstore