并行计算技术与数据挖掘

Parallel Computing and Data Mining

当今社会是信息化高度发达的社会,各类信息汇总形成的数据库也逐渐庞大复杂。因此,在海量的数据中进行数据的查找等工作非常困难。多线程技术虽然在一定程度上可以缓解上述情况,但要想真正做到准确,快速,还是要依靠并行计算技术来实现。本文从介绍数据挖掘以及数据挖掘在Google的应用,引入解决数据挖掘瓶颈问题最有效的方法之一——并行计算。

Today＇s society is highly developed information society, various types of information summary is gradually formed large and complex database.As a result, it is difficulty to find what you want in so much information. Multithreading can be used to faster the speed, but if you want faster and correcter, you would have to depend on Parallel Computing. In this paper, Data Mining, as well as from the introduction of Data Mining in Google＇s applications, the introduction of Data Mining to solve bottleneck problems in one of the most effective way - Parallel Computing.