海量数据处理过程中数据挖掘算法的应用

The Application of Data Mining in Processing Mass Data

信息时代的快速发展带来的是信息总量呈现几何级数的增加,而海量数据的存储和分析处理对计算机硬件能力和数据分析能力都是一个极大的挑战.数据挖掘算法是针对于大批量数据处理而提出并逐步发展起来的,基于完备的数据库技术,可以在云计算算法、矩阵压缩算法和并行关联算法的基础上,进行算法集成,能进一步提高数据挖掘的速度、精度和时效性,在实际海量数据的处理过程中有较好的适应性,为海量数据处理提供了新的技术分析方法.

With the rapid development of information technologies, information multiplies exponentially. The storage and analysis of mass data poses a great challenge for the hardware of computers and data analysis abilities. Data mining, which is based on database technique, develops from processing mass data and is used for algorithm integration on the basis of cloud computing, matrix-compression algorithm and parallel association. It helps improve the speed, accuracy and timeliness of data mining and is highly adaptable in processing mass data. Therefore, it provides a new way to process mass data.