而数据挖掘技术是人们研究海量信息处理的主要方法之一。
Data mining technology is one of the most important ways in researching the mass information processing.
对于海量信息处理的应用，分词的速度是极为重要的，对整个系统的效率有很大的影响。
The rate of text participle is most important especially in applied in great information handling, and it affects the efficiency of whole system.
图像是一种直接形象地描述客观世界的信息载体，快速高效的从图像数据库中找到查询图像是海量信息处理所面临的瓶颈。
Image is an information carrier which can describe the objective world directly and vividly. It is bottleneck that the query image is found from the massive image database fast and efficiently.
如何将信息从海量图像数据库中及时检索出来，是近年来网络信息处理面临的“瓶颈”，已成为国内外研究热点。
How to retrieve relevant images quickly on demand in the enormous digital image databases has become the bottleneck of information processing techniques.
基于各种海量规则信息处理的需求，提出了海量规则网的维护与优化的基本方法。
Based on the requirements of processing a large sale of rules, a maintenance and optimization method of a large rule network was proposed.
基于各种海量规则信息处理的需求，提出了海量规则网的维护与优化的基本方法。
Based on the requirements of processing a large sale of rules, a maintenance and optimization method of a large rule network was proposed.
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