1. A system for enhancing knowledge discovery using a support vector machine comprising: a server in communication with a distributed network for receiving a training data set, a test data set, a live data set and a financial account identifier from a remote source, the remote source also in communication with the distributed network; one or more storage devices in communication with the server for storing the training data set and the test data set; a processor for executing a support vector machine; the processor further operable for: collecting the training data set from the one or more storage devices, pre-processing the training data set to add dimensionality to each of a plurality of training data points, inputting the pre-processed training data set into the support vector machine so as to train the support vector machine, in response to training of the support vector machine, collecting the test data set from the one or more storage devices, pre-processing the test data set to add dimensionality to each of a plurality of test data points, inputting the test data set into the trained support vector machine in order to test the support vector machine, in response to receiving a test output from the trained support vector machine, collecting the live data set, inputting the live data set into the tested and trained support vector machine in order to process the live data, in response to receiving a live output from the support vector machine, post-processing the live output to derive a computationally based alphanumerical classifier, and transmitting the alphanumerical classifier to the server; wherein the server is further operable for: communicating with a financial institution in order to receive funds from a financial account identified by the financial account identifier, and in response to receiving the funds, transmitting the alphanumerical classifier to the remote source or another remote source.