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Machine Learning Procedures
 

BOOLRULE Procedure

PROC BOOLRULE Features

The BOOLRULE procedure processes large-scale transactional data in parallel to achieve efficiency and scalability. The following list summarizes the basic features of PROC BOOLRULE:

  • Boolean rules are automatically extracted from large-scale transactional data.

  • The extracted rules can be easily understood and tuned by humans.

  • Important features are identified for each category.

  • Imbalanced data are handled robustly.

  • Binary-class and multiclass categorization are supported.

  • Events for defining labels for documents are supported.

  • All processing phases use a high degree of multithreading.

Last updated: August 06, 2026