In order to improve the efficiency of event detection from on-line news stream, we propose a new method to accomplish detection task with window-adding, named entity recognition and suffix tree clustering. In our method, we make full use of informative elements extracted from news (such as date, place, person and so on) to help detection task, and accomplish the detection efficiently with news characteristics matching, which decreases text similarity computation greatly. Experimental results show that our method improves on-line event detection performance, without sacrificing detection precision.