Abstract: A computerized method, system and program product for generating a data mining model. A user can provide objectives for the model and sample data to train, validate, and test the model. A rules system can automatically select a set of algorithms based on the objectives and/or sample data. A plurality of datasets can also be created from the sample data. Using the datasets, the set of algorithms can be optimized for the particular data on which it is intended to be used. The data mining model can then be generated from the optimized set of algorithms.

Abstract: Under the present invention, columns of the user data schema are first matched to corresponding columns of the mining model schema. Once the columns are matched, it will be determined whether data within matching columns of the user data schema has a data type different than data within the corresponding columns of the mining model schema. If so, the data within the matching columns of the user data schema is transformed to match the data type of the data within the corresponding columns of the mining model schema. After any transformation is performed, the user/operator is provided with an opportunity to alter or override the mapping. Once the final mapping is provided, one or more matching resources can be updated to reflect the mapping.