正确的 提取的信息应该是正确的,并且在统计上是重 要的以支持有依据的决定。正确意味着确证性 和完整性。不但需要从数据库中得到正确的客 户,还希望得到所有正确的客户。这就需要原 始数据和数据挖掘过程都具有正确性
正确的 ◼ 提取的信息应该是正确的，并且在统计上是重 要的以支持有依据的决定。正确意味着确证性 和完整性。不但需要从数据库中得到正确的客 户，还希望得到所有正确的客户。这就需要原 始数据和数据挖掘过程都具有正确性
有用的 数据挖掘过程可能会传递正确的和重要的结果, 但是这些知识必须是对商业有用的。如结果告诉 你要在一个大量的渠道上多样化市场运作,这可 能会无法办到。同样结果必须使你能抢在竞争对 手之前行动
有用的 ◼ 数据挖掘过程可能会传递正确的和重要的结果， 但是这些知识必须是对商业有用的。如结果告诉 你要在一个大量的渠道上多样化市场运作，这可 能会无法办到。同样结果必须使你能抢在竞争对 手之前行动
未知的 数据挖掘要产生新的信息。如果过程只是传递 些无关紧要的结果,那么数据挖掘的商业动 力就会消失。这就是区分验证和探索的性质
未知的 ◼ 数据挖掘要产生新的信息。如果过程只是传递 一些无关紧要的结果，那么数据挖掘的商业动 力就会消失。这就是区分验证和探索的性质
最小要求 ■以上显示了数据挖掘最小要求,可以用它来评 价数据挖掘是否对业务环境增加了附加的价值 其他要求
最小要求 ◼ 以上显示了数据挖掘最小要求，可以用它来评 价数据挖掘是否对业务环境增加了附加的价值 ◼ 其他要求
Why Data Mining? Gain an insight into business data Identify useful patterns correlations and models from data automatically to answer questions like, Which customer is likely to churn in two months? Which customer is my cross sell target? What are the characteristics of my high spending and low spending customers? Data mining is a core technology of business intelligence Data mining is a core application of data warehouses Data mining is the core technology of analytical CRM Data mining is the core technology of online recommendation and personalization in e-commerce Data mining has become a part of business function in many companles
Why Data Mining? ◼ Gain an insight into business data ◼ Identify useful patterns, correlations and models from data automatically to answer questions like, ◼ Which customer is likely to churn in two months? ◼ Which customer is my cross sell target? ◼ What are the characteristics of my high spending and low spending customers? ◼ Data mining is a core technology of business intelligence ◼ Data mining is a core application of data warehouses ◼ Data mining is the core technology of analytical CRM ◼ Data mining is the core technology of online recommendation and personalization in e-commerce ◼ Data mining has become a part of business function in many companies