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.

• 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 should attend

Formats available	Standard duration
Classroom:	1 day
Live Web Classroom:	2 half-day session(s)	System Requirements

Before attending this course, you should complete the Applied Analytics Using SAS Enterprise Miner course or have equivalent experience.

This course addresses SAS Enterprise Miner, SAS High-Performance Data Mining software.

• introduction
• High-Performance Analytics architecture

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

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

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

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