文章探讨了在网络计算的环境下的市场营销离群数据挖掘的重要性与内容。
This paper discusses the importance and approach of marketing outlier mining under the network computing.
从智能信息检索的角度出发，主要考虑从网络信息内容的关联度来挖掘网络数据。
They also discuss the relevance of network information contents for the mining of network data.
第五章的内容主要围绕分析型库存管理系统的数据挖掘模型而展开，建立了用以预测安全库存量的BP神经网络模型，并对模型进行了训练和预测结果的评价。
The fifth chapter of the thesis has set up the BP model in order to forecast the security stocks, and has educated the model and evaluated the forecast result.
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