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。
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。
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。
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。
应用推荐