Abstract: A method for determining supply chain risks is provided. The method including the steps of: providing a plurality of data locations, each data location having an agent and data elements; performing distributed data mining by each of the agents using the data elements at the respective data location to produce a candidate decision for the respective location; determining a global decision from the candidate decisions, the global decision covering the data elements at all of the data locations; and generating predictive risk scores for the data elements from the global decision.

Abstract: A real-time Internet data mining system comprising a database, data processing, clustering, segmentation, and classification algorithms, and a networking server. The system receives customer account data from subscriber servers and prepares it for analysis. The data is transmitted to third-party data depositories. The third-parties append selected consumer behavioral information matched by a key, such as a physical or an e-mail address. The appended information is returned to the data mining system where multiple algorithms analyze the accounts based on a desired prediction. The scored accounts and analyses are returned to the originating subscriber servers for use in marketing communications.