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.

Learn how to

• 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

Experienced users of SAS Enterprise Miner 5.3 or higher

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.

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