Lazy Feature Selection Approach to Concept Drift in Dynamic Text Classification
动态文本分类中概念漂移问题的解决算法研究

The current dynamic text classification mode of lazy learning algorithms plus updating training set can't deal with concept drift well.So the paper issued a new approach based on lazy feature selection(LFS),a new mode derived from the main idea of lazy learning algorithm.This new approach also adopted many advantages of k-NN,and achieved excellent effect to resolve concept drift in dynamic text classification.