An Information Classification Optimization Model Based on Improved Ant Colony Algorithm

Abstract

In the information management process, it is necessary to classify all information optimization to provide the support for quickly query the search target providing this, a classification optimization method based on improved ant colony algorithm is proposed in this paper. That is, extract the characteristics of information attribute, and then establish the optimization classification model based on the characteristics to achieve the classification of information. Experimental results show that using the improved algorithm for classification information, the classification accuracy can be improved to meet the actual demand data management.