In terms of the new characteristics of current data, which is widely distributed, dynamic, rough and so on, a number of intelligent data mining technology come into being.
而针对目前数据的新特点，分布广，动态性，粗糙性等，一些智能化的数据挖掘技术便应运而生。
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.
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。
This tutorial shows you how to apply data mining techniques using IBM DB2 Intelligent Miner to characterize the customers in terms of the products they purchase and the frequency of their shopping.
该教程向您展示了如何通过使用IBM DB 2 Intelligent Miner根据客户所购买的产品和他们购物的频率描述其特点，来应用数据挖掘技术。
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