| E. Schallehn, K. Sattler, and G. Saake. Extensible and similarity-based grouping for data integration Poster paper.In 8th Int. Conf. on Data Engineering (ICDE), San Jose, CA, 2002 |
....of an operator is again a model. Thus, different operators can be easily combined. A set of the operators has to be sufficient, especially it has to support many needs of the analyst in the data mining and post processing steps. The operators for pre processing are described elsewhere, e.g. [26]. Following kinds of operators are supported by the proposed framework: extracting patterns of special interest, projecting patterns (shrinking the feature set) comparing of models (according patterns and interestingness) merging of models (combining two models) and renaming ....
E. Schallehn, K. Sattler, and G. Saake. Extensible and similarity-based grouping for data integration Poster paper.In8th Int. Conf. on Data Engineering (ICDE), San Jose, CA, 2002.
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E. Schallehn, K. Sattler, and G. Saake. Extensible and similarity-based grouping for data integration Poster paper.In 8th Int. Conf. on Data Engineering (ICDE), San Jose, CA, 2002
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