Abstract: Computer-supported methods and systems are disclosed for determining a characteristic function from a matrix that contains a defined number of data records having classifiable features. Processing of the matrix may first be performed by executing, for example, process steps for enrichment and compression. The matrix may be enriched by classes for the features. Further, the matrix may be compressed with a reduction in the number of data records. Finally, calculation of the characteristic functions may be performed by taking into account most of the data records of the matrix thus processed.

Abstract: Computer-supported methods and systems are disclosed for determining a characteristic function from a matrix that contains a defined number of data records having classifiable features. The matrix may be processed and then the characteristic function may be calculated by taking into account the processed matrix. Processing of the matrix may include one or more processing steps, such as enrichment of the matrix with classes for the features and/or compression according to the classes. Further, such methods and systems may be controlled by the interpretation of a predetermined scheme. The predetermined scheme may define the sequence of individual executions for the processing the matrix (including enrichment and compression) and the rules for the particular individual executions.

Abstract: Computer-supported methods and systems are disclosed for determining a characteristic function from a matrix that contains a defined number of data records having classifiable features. Processing of the matrix may first be performed by executing, for example, process steps for enrichment and compression. The matrix may be enriched by classes for the features. Further, the matrix may be compressed with a reduction in the number of data records. Finally, calculation of the characteristic functions may be performed by taking into account most of the data records of the matrix thus processed.

Abstract: Computer-supported methods and systems are disclosed for determining a characteristic function from a matrix that contains a defined number of data records having classifiable features. The matrix may be processed and then the characteristic function may be calculated by taking into account the processed matrix. Processing of the matrix may include one or more processing steps, such as enrichment of the matrix with classes for the features and/or compression according to the classes. Further, such methods and systems may be controlled by the interpretation of a predetermined scheme. The predetermined scheme may define the sequence of individual executions for the processing the matrix (including enrichment and compression) and the rules for the particular individual executions.