2001 | OriginalPaper | Buchkapitel
Mining for Rules over Attribute Taxonomies
verfasst von : Jean-Marc Adamo
Erschienen in: Data Mining for Association Rules and Sequential Patterns
Verlag: Springer New York
Enthalten in: Professional Book Archive
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The algorithms presented so far deal with association rules based on a flat set of attributes. In most applications, the attribute set is given together with a set of taxonomies. The taxonomies reflect arbitrary individual or collective views according to which the set of attributes is hierarchically organized. For instance, Figure 4.1 shows a sample taxonomy defining hierarchies for grocery items (attributes of basket data).