APPARATUS AND METHOD FOR PREDICTING THE BEHAVIOR OR STATE OF A NEGATIVE OCCURRENCE CLASS

摘要

A method and apparatus are presented for predicting the behavior or state of a negative occurrence class by scoring histories of members of the negative occurrence class against pasts of members of a positive occurrence class. The method and apparatus predicts the members of the negative occurrence class that are most likely to next transition to members of the positive occurrence class.

主权项

1. A method for predicting the behavior or state of a negative occurrence class by scoring histories of members of the negative occurrence class against pasts of members of a positive occurrence class, the method comprising:
identifying the positive occurrence class, wherein each of the members of the positive occurrence class were previously members of the negative occurrence class; determining positive occurrence class rules defining at least one cluster of the members of the positive occurrence class, wherein:
the positive occurrence class rules are based on the pasts of the members of the positive occurrence class; andthe pasts of the members of the positive occurrence class includes properties of the members of the positive occurrence class prior to becoming members of the positive occurrence class; determining a center of each of the at least one cluster of the members of the positive occurrence class; identifying the negative occurrence class, wherein each of the members of the negative occurrence class are currently members of the negative occurrence class; determining negative occurrence class rules defining at least one cluster of the members of the negative occurrence class, wherein:
the negative occurrence class rules are based on the pasts of the members of the negative occurrence class; andthe histories of the members of the negative occurrence class includes properties of the members of the negative occurrence class; determining a center of each of the at least one cluster of the members of the negative occurrence class; determining a nearest cluster distance for each cluster of the members of the negative occurrence class, wherein the nearest cluster distance is the distance between the center of a given cluster of the members of the negative occurrence class to the center of the nearest cluster of the members of the positive occurrence class; identifying the cluster of the members of the negative occurrence class having the smallest nearest cluster distance as the cluster of the members of the negative occurrence class that are most likely to next transition to members of the positive occurrence class.