Rules extraction system family
id:
rules-extraction-system-family-297-12222234
title:
Rules extraction system family
text:
The rules extraction system (RULES) family is a family of inductive learning that includes several covering algorithms. This family is used to build a predictive model based on given observation. It works based on the concept of separate-and-conquer to directly induce rules from a given training set and build its knowledge repository. Algorithms under RULES family are usually available in data mining tools, such as KEEL and WEKA, known for knowledge extraction and decision making.
brand slug:
wiki
category slug:
encyclopedia
description:
original url:
https://en.wikipedia.org/wiki/Rules_extraction_system_family
date created:
date modified:
2023-09-02T12:18:35Z
main entity:
{"identifier":"Q25051525","url":"https://www.wikidata.org/entity/Q25051525"}
image:
fields total:
13
integrity:
13