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Multidimensional Analysis and Descriptive Mining of Complex Data Objects Generalization of Structured Data

An important feature of object-relational and object-oriented databases is their capability of storing, accessing, and modeling complex structure-valued data, such as set- and list-valued data and data with nested structures. A set-valued attribute may be of homogeneous or heterogeneous type. Typically, set-valued data can be generalized by

Generalization of each value in the set to its corresponding higher-level concept Derivation of the general behavior of the set, such as the number of elements in the set,the types or value ranges in the set, the weighted average for numerical data, or the major

clusters formed by the set

example:
Generalization of a set-valued attribute. Suppose that the expertice of a person is a set-valued attribute containing the set of values {tennis, hockey, NFS, violin, prince of pesia}. This set can be generalized to a set of high-level concepts, such as {sports, music, computer games} or into the number 5 (i.e., the number of activities in the set). Moreover, a count can be associated with a generalized value to indicate how many elements are generalized to that value, as in {sports(3), music(1), computer games(1)}, where sports(3) indicates three kinds of sports, and so on.