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SAS(R) Enterprise Miner(TM) High-Performance Data Mining Nodes

Course Details
Code: DMHP42
Tuition (USD): $800.00 • Classroom (1 day)

This course highlights the similarities and differences between the High-Performance nodes in SAS Enterprise Miner 14.2 and the classical nodes. A software demonstration is included.

Skills Gained

  • differentiate between how data are analyzed in the traditional SAS environment compared to the SAS High-Performance environment
  • identify similarities and differences between properties of High-Performance Data Mining nodes in SAS Enterprise Miner and their counterpart, traditional data mining nodes
  • use SAS High-Performance Data Mining nodes for which there are no traditional counterparts.

Who Can Benefit

  • Experienced users of SAS Enterprise Miner 5.3 or higher


  • Before attending this course, you should complete the Applied Analytics Using SAS(R) Enterprise Miner(TM) 5.2 course or have equivalent experience.

Course Details

Overview of SAS High-Performance Analytics Architectures

  • introduction
  • High-Performance Analytics architecture

Accessing and Exploring Data

  • creating a data source
  • the High-Performance (HP) Data Partition node
  • the HP Explore node

Assessing and Transforming Data

  • the HP Impute node
  • the HP Transform node
  • the HP Variable Selection node

Modeling Data

  • the HP Forest node
  • the HP Regression node
  • the HP Neural node

Assessing Models and Scoring

  • High-Performance Data Mining (HPDM) assessment
  • scoring
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