Encapsulating Classification in an OODBMS for Data Mining Applications

Classijication is an important task in data mining. Encapsulating classijication in an object-oriented database system requires additional features: we propose multiobjects and schema evolution. Our approach allows us to store classification functions, and to store instances of each group in order to retrieve them later: Since the database is operational, it allows us also to perform dynamic classijication, i.e. adaYremove instances to/ fom groups over time. Moreover; it allows us to update classification functions ( i f we choose another population sample or apply another classijier) and have the instances of groups consequently reclassified. We illustrate our approach with a target mailing application.