Patent ID: 6266656
Filing Date: 2001-07-24
Classification: G06F,G06K,G06N

Abstract:
A classification apparatus in which classification rules are automatically generated using known case data, having known results of classification, among case data each of which is made up of a set of a conditional part serving as a clue for classification and a result of classification, and in which unknown case data, having unknown results of classification, are automatically classified using said classification rules; comprising:(a) an input unit for entering the known case data and the unknown case data;(b) a classification rule database for storing classification rules including probabilistic information;(c) a case database for storing the known case data in the form of a network based on the logical relation of the conditional parts;(d) a probability value estimating unit for estimating probability values of the results of classification using the conditional parts of the known case data and the unknown case data as entered and the rules of classification;(e) a classification rule generating unit for evaluating the validity of the classification rules received from the classification rule database and the case database by statistic verification for suppressing generation of useless classification rules, and generating a valid classification rule, wherein the generated valid classification rule comprises at least a value indicating a frequency of the validity of the conditional part; and(f) an output unit for outputting the generated classification rule, wherein the generated classification rule is used to classify the unknown case data.