在层次模型的基础上，提出了一个智能数据挖掘的开发框架，包括问题识别层、任务层、应用层和用户层等多层概念。
The paper presents a framework of intelligent data mining based on the layer model. It consists of multi-layers of concepts, problem identifying lay er, task layer, adaptive layer and user layer.
其中关键的一步是要从该数据挖掘出对业务有实际价值的智能。
The critical step is to derive business-actionable intelligence from that data.
你允许其他应用进入部分或全部的图表，进行数据挖掘并提供增值的观点和自动的智能帮助。
You will be able to permit other applications to access part or all of your graph to datamine it and provide you with value-added views and even automated intelligent assistance.
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