二是网络使用挖掘，指挖掘网站访问方式或其他网络用户信息的过程。
The first is Web content mining, which describes the process of information retrieval and extraction from varieties of sources across the World Wide Web.
但是，使用社会网络分析进行更加广泛的数据挖掘会使新的事物成为可能。
But broadening data mining to include analysis of social networks makes new things possible.
挖掘网络，能追踪那些与新趋势及新行为相关的信息，这些信息包罗万象，从毒品使用与种族关系紧张到电影喜好与新产品。
The web could be mined to track information about emerging trends and behaviours, covering everything from drug use or racial tension to interest in films or new products.
分别使用模糊聚类方法、混合模糊神经网络、关联规则挖掘等知识发现方法对间歇过程中的配方、周期性污垢、操作策略规则等进行挖掘和处理。
Using the Fuzzy Cluster method, Hybrid Fuzzy Neural Network, Association rules mining methods, etc. find and excavate the recipes, periodic fouling, and operation strategy rule in the batch process.
互联网使用信息的挖掘就是对互联网用户网络访问行为进行分析挖掘，以获得描述其中内存规律的模式。
Mining of Internet message is analyzing and mining network access action of Internet user so as to obtain mode for describing memory rule.
该文介绍了使用基于数据挖掘和知识发现的神经网络技术来解决库存问题的方法。
This paper introduces neural networks technology based on data mining and knowledge discovery for inventory problems.
目前对于基于人工免疫系统的数据挖掘技术的研究，多使用的是基本的免疫算法，而忽略了免疫网络模型等其它免疫机理所具有的独特优势。
On the other hand, the artificial immune system in data mining mainly adopts the basic immune algorithms, which ignore the unique characters of the other immune mechanisms such as the immune networks.
目前对于基于人工免疫系统的数据挖掘技术的研究，多使用的是基本的免疫算法，而忽略了免疫网络模型等其它免疫机理所具有的独特优势。
On the other hand, the artificial immune system in data mining mainly adopts the basic immune algorithms, which ignore the unique characters of the other immune mechanisms such as the immune networks.
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