Vertical and Horizontal Decision Tables

Traditionally, the majority of decision tables list their rules in the top-to-bottom order when different rules are placed in rows.  Here is an example of a typical single-hit decision table created in Excel in accordance with the OpenRules format: Continue reading

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Can ML help with Compression of Large Rulesets?

The integrated use of Machine Learning (ML) and Business Rules (BR) is one of the most practical trends in the development of modern decision-making software. OpenRules is involved in this development for more than 10 years starting with our successful ML+BR projects for IRS. Along with a general purpose Rule Learner, we also provide Rule Compressor, that uses ML to compress large decision tables to smaller ones. This recent presentation explains how it works. Continue reading