HETEROGENEITY LEARNING BASED INFORMATION CLASSIFICATION APPARATUS

摘要

The present invention relates to an apparatus for classifying information based on heterogeneous learning, a supervised learning processing unit generating a first classification rule through a first learning data population for supervised learning, and generating an initial classification rule through a second supervised learning data population. A heterogeneous learning processing unit that injects heterogeneous learning data into an initial classification rule to generate a second classification rule, and a classification rule that generates a final classification rule among at least one candidate classification rule generated through the first and second classification rules Includes wealth. Therefore, the present invention can contribute to improving the accuracy of information classification by adding heterogeneous data to the original data.