The article discusses a new method to reduce unnecessary information in data analysis. By using a special technique called condition entropy, the researchers were able to improve the process of identifying and removing redundant attributes. This new approach led to a more efficient way of simplifying complex data sets, as shown in their example where the improved algorithm successfully reduced unnecessary information.