A data mining problem, called knowledge incorporation, is proposed as an approach that inverts a method exploited within ASSO, a formal database design methodology. Starting from a graph of logical classes, where each object instance belongs to one and only one class, a formal transformation is determined. This transformation links the graph of logical classes with a graph of conceptual classes, where each object instance may belong to more classes. The knowledge incorporation approach is able to implicitly represent classes of objects explicitly represented at logical level.
From conceptual modeling to data mining
Locuratolo E
2006
Abstract
A data mining problem, called knowledge incorporation, is proposed as an approach that inverts a method exploited within ASSO, a formal database design methodology. Starting from a graph of logical classes, where each object instance belongs to one and only one class, a formal transformation is determined. This transformation links the graph of logical classes with a graph of conceptual classes, where each object instance may belong to more classes. The knowledge incorporation approach is able to implicitly represent classes of objects explicitly represented at logical level.File in questo prodotto:
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