Abstract: The present invention includes relational Bayesian network-based tracking methods. Various, distinct embodiments of the present invention include tracking methods for: real-time relational tracking of e-commerce segmentation and personalization, in-residence tracking of elderly and disabled people, real-time relational tracking for ground target tracking, and real-time relational tracking of satellites and satellite constellations.

Abstract: The present invention includes relation-Bayesian-network-based tracking methods. Various, distinct embodiments of the present invention include tracking methods for: real-time relational tracking of e-commerce segmentation and personalization, in-residence tracking of elderly and disabled people, real-time relational tracking for ground target tracking and real-time relational tracking of satellites and satellite constellations.

Abstract: An electronic message processing system includes a classification module for classifying electronic messages, such as e-mails and SMS messages, into one or more categories according to their content. In a preferred embodiment, a text analyzer is used to apply a sequence of one or more rule sets to the content of each message. The rule sets to be applied and their order in the sequence is determined by a hierarchical structure. The use of the hierarchical structure reduces the number of rules which must be applied to a given message. Arranging the rules in sets facilitates administration and maintenance of the rules. A further aspect of the invention involves the instantiation of multiple instances of the text analyzer, one instance for each rule set. This allows an appropriate lexical analysis tool, such as a dictionary in an appropriate language, to be used in conjunction with each rule set.