RIPPER RIPPER is a system that learns sets of rules from data. RIPPER has a number of advantages over other rule-learning systems. It's faster, especially on large noisy datasets. Generally speaking, it gives good results. The rules produced by RIPPER tend to be compact and understandable.

Current Version:   ?? License Type:   Free for Non-Commercial Research Use or for At&T employees.

Home Site: http://www.research.att.com/~wcohen/ripperd.html Source Code Availability:   Yes Available Binary Packages: Debian Package:   No RedHat RPM Package:   No Other Packages:   No Targeted Platforms: Unix (yes, it works on Linux/gcc) Software/Hardware Requirements: ANSI C compiler (like gcc)

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