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Until performance R Ecur ThresholdR RuleBase sort RuleBase by performance R E return RuleBase Learn ordered set of rules Beam search in CN2 CN2 Clark and Niblett 1989 Ecur Ecur - all examples covered by R NOT ONLY POS. EX. R. t. Generality ordering for hypotheses Pruning of the search space Syntactic generality or -subsumption most popular in ILP Clause c1 -subsumes c2 c1 c2 if and only if c1 c2 if C covers a neg. Search for specializations R of a rule R Cl Cond from the RuleBase....
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Knowledge discovery involves identifying and extracting knowledge from data through various techniques such as data mining, machine learning, and natural language processing.
Various organizations and researchers in fields such as business, healthcare, and academia may be required to file knowledge discovery reports.
Knowledge discovery is filled out by analyzing data, applying algorithms, and interpreting the results to uncover valuable insights.
The purpose of knowledge discovery is to gain new insights, make better decisions, and improve processes based on extracted knowledge from data.
Information such as data sources, analysis techniques, findings, and recommendations must be reported on a knowledge discovery report.
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