大数据环境下机器学习在数据挖掘中的应用研究

Research and Application of Machine Learning in Data Mining Based on Big Data

随着Web2.0时代的到来,数据量呈几何级态势增长.这些海量的数据不仅结构多样,而且体现出动态性极强的特点.以往应用于小规模数据集上的机器学习算法已经不再适用.大数据概念引起了学术界和产业界的高度关注.对当前大数据环境下引入机器学习的意义进行了分析,论述了机器学习系统的构成及任务,并对其发展趋势与前景进行了展望.

With the advent of the Web2. 0 era,the amount of data increased geometrically.These massive amounts of data are not only structurally diverse,but also showa strong dynamic characteristics. In the past,machine learning algorithms applied to small-scale data sets are no longer applicable. The concept of big data has aroused great interests in academia and industry. In this paper,the significance of introducing machine learning into big data environment is analyzed,as well as its composition and main tasks. Development trend and prospect of machine learning are also discussed.