Abstract: A system includes a memory configured to store a set of input data and processor operably coupled to the memory and configured to access the set of input data, execute a rule-based model configured to identify an encoding process, execute a first machine-learning model trained to encode the set of input data based on the encoding process and generate a reduced set of input data, transform the reduced set of input data from a one-dimensional probability distribution to a multidimensional probability distribution, execute a second machine-learning model trained to decode the reduced set of input data and generate a global set of input data based on the decoded reduced set of input data. In response to identifying a probable difference between the reduced set and the global set of input data, the processor is configured to identify the set of input data as corresponding to a set of misrepresentative data.

Abstract: An apparatus includes a memory and a processor. The processor receives a request to validate target data against source data. The processor identifies a disagreement between an element of source data and a corresponding element of target data. The disagreement indicates that the ordered set of alphanumeric characters representing the source element is different from the ordered set of alphanumeric characters representing the target element. In response to identifying the disagreement, the processor determines that the source element does not match the target element, where the source element includes a first value stored according to a first format, and the target element includes a second value stored according to a second format. In response, the processor extracts an element of the source data corresponding to the source element, transforms this element from the first format to the second format, and loads it into the target data.

Abstract: An apparatus includes a memory and a processor. The processor receives a request to validate target data against source data. The processor identifies a disagreement between an element of source data and a corresponding element of target data. The disagreement indicates that the ordered set of alphanumeric characters representing the source element is different from the ordered set of alphanumeric characters representing the target element. In response to identifying the disagreement, the processor determines that the source element does not match the target element, where the source element includes a first value stored according to a first format, and the target element includes a second value stored according to a second format. In response, the processor extracts an element of the source data corresponding to the source element, transforms this element from the first format to the second format, and loads it into the target data.