Knowledge discovery in database can help enterprise to solve this problem very well, which extracts implicit, unknown, valuable information and knowledge from customer’s database or data warehouse according to enterprise’s require, turn abundant, unordered data into the mode which describe customer’s characteristic. We can say the success of CRM in effective customer knowledge mining.
知识发现技术能够帮助企业很好地解决这个问题,它按照企业既定的目标,从客户数据库或数据仓库中提取出隐含的、未知的、有价值的信息和知识,将海量、无序的数据转化为描述客户特征的模式,可以全面了解客户行为,可以说,CRM的成功在于有效的客户知识挖掘。
参考来源 - 基于粗糙集的知识发现及在CRM中的应用研究·2,447,543篇论文数据,部分数据来源于NoteExpress
同义词: disordered
以上来源于: WordNet
The attributes are thus unordered.
因此,这些属性是无序的。
While the unordered set displays as.
而未排序的集显示如下。
Demonstrates different types of unordered lists.
这个例子演示了不同类型的无序列表。
If it was an unordered list, we were basically stuck with linear search. Got to walk through the whole list to see if the thing is there.
如果是一个未排序的列表,基本上我们就只能使用线性搜索了,通过遍历整个列表来查看。
应用推荐