摘要
征兆发现是指从大量的事件和环境信息中甄别征兆的非平凡过程,然而传统的基于高频模式的算法却很难找出某些重要事件的征兆,本文提出了一种新的征兆发现算法,将相关数据可视化并不断地通过人机交互来找到所需要的事件,并将其应用于某超市系统中,取得了较好的效果.
Sign Discovery short for SD, which is a new research area, is a non-normal process of discovering sign from massy events and large environment information. But the traditional algorithms, which are based on the model of high frequency, are hard to discover these signs. This paper has proposed a new sign discovery algorithm that is applied to text data for visualizing such a structure. We can find the event found on interaction between human and computer. And we have applied it to a supermarket system to discovery the customers' latency merchandise.
出处
《小型微型计算机系统》
CSCD
北大核心
2006年第4期687-690,共4页
Journal of Chinese Computer Systems
基金
中国科学院研究生科学与社会实践专项资助
关键词
征兆发现
数据可视化
人机交互
sign discovery
interaction
data visualization