摘要
随着我国现代化的迅速发展,伴随着快速发展的脚步其数据也越来越多,如何处理这些数据成为了越来越受人关注的问题。因为大数据多,种类复杂的特征,使得数据挖掘越来越重要,而自我学习可以对数据进行分析,并找出其相关模式,因此在商业领域应用广泛。本文主要就是研究数据挖掘中的自我学习算法,了解自我学习算法的特征,并分析在实际中可以应用到哪些领域。
With the rapid development of China’s modernization,with the rapid development in the footsteps of its data more and more,how to deal with these problems has become more and more attention by people.Because of big data,types,the characteristics of the complex makes more and more important,data mining and self learning can analyze the data,and find out the related patterns,therefore widely used in the field of business.This article mainly is the self learning algorithm in data mining research,understand the characteristics of the self learning algorithm,and analyze in practice,which can be applied to the fields.
出处
《网络安全技术与应用》
2014年第11期171-171,173,共2页
Network Security Technology & Application
