Patent ID: 7406452

Claim:
A method of machine learning comprises: training a first set of classifiers to predict a plurality of categories using attributes of training cases, wherein the training cases include documents, payroll data, web surfing data, user profiles, or any combination thereof; and training a second set of classifiers to predict the plurality of categories using the attributes of the training cases and using predictions from one or more of the classifiers in the first set as inputs for training the second set of classifiers, wherein the i th output of the first set classifiers does not input to the i th input of the second set classifiers; receiving new cases for classification, wherein the new cases include one of new documents, new payroll data, new web surfing data, and new user profiles; and classifying the new cases into the plurality of categories with the trained first and second set of classifiers so as to classify each of the new cases under at least one topic as represented by one of the plurality of categories to organize the new cases.