Introduction

The high-performance data mining procedures provides tools that have been specially developed to take advantage of parallel processing in multithreaded computing. Data mining methods include neural networks and ensemble tree models as well as variable selection techniques and applying decision matrices to make optimal decisions. The software is constantly being updated to reflect new methodology and advances in high-performance analytics.

In addition to the high-performance data mining procedures described in this book, Enterprise Miner includes high-performance utility procedures, which are described in Base SAS Procedures Guide: High-Performance Procedures. You can run all these procedures in single-machine mode without licensing SAS High-Performance Data Mining. However, to run these procedures in distributed mode, you must license SAS High-Performance Data Mining.