Spatial Association Rules is important information of implying in the data, this paper adopts method research Spatial Association Rules abstraction of message that data excavate.
空间关联规则是空间数据中重要的隐含信息，本文采用数据挖掘的方法研究空间关联规则信息的提取。
So, in order to excavate specific types of data, specific data mining system should be constructed.
因此，为挖掘特定类型的数据，应当构造特定的数据挖掘系统。
The result shows that, to excavate the information from the data using OLAP is feasible, and is superior to the traditional data analysis method.
结果表明，OLAP用于挖掘数据中的信息是可行的，而且比传统的数据分析方法优越。
In view of this, how to utilize the data mining techniques to excavate out the good model, becoming a focus of present academia on all aspects of the banking.
有鉴于此，如何利用数据挖掘技术在银行业的各个方面挖掘出好的模型正在成为当前学术界的一个热点。
However, though most websites can utilize websites to note abundant trade information and data correlated with users at present, but unable to fully excavate and utilize the information.
然而，目前大多数网站虽然能够利用网站记录下丰富的交易信息以及与用户相关的数据，但却无法对这些信息进行充分地挖掘和利用。
But due to the inherent characteristics of the multi data source, multi type, multi temporal and multi resolution, one data mining system to excavate all types of weather data is unrealistic.
但由于气象数据的多数据源、多类型、多时相、多分辨率等固有的特点，指望一个数据挖掘系统挖掘所有类型的气象数据是不现实的。
To further excavate the nesting loop parallelism and the data access-time locality, a linearity cyclic transformation functional module is used to improve the algorithm.
为了进一步地发掘嵌套循环的并行性和数据访问的时间局部性，对算法增加了一个线性循环变换的功能模块来进行改进。
To further excavate the nesting loop parallelism and the data access-time locality, a linearity cyclic transformation functional module is used to improve the algorithm.
为了进一步地发掘嵌套循环的并行性和数据访问的时间局部性，对算法增加了一个线性循环变换的功能模块来进行改进。
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