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The document discusses rule-based classification techniques for data mining. It describes how rule-based classifiers work by applying a set of "if-then" rules to classify records. Each rule has a condition part and a class label part. It provides an example of rules developed from a dataset to classify different types of animals. The document also discusses concepts like rule coverage, accuracy, ordered vs unordered rule sets, direct and indirect methods for building rules, and the sequential covering appro

Author
Andaro Production
Language
EN

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