基于关注关系的互联网云数据挖掘方法实现

随着互联网技术的飞速发展，互联网上的数据的获取也变得越来越简单与便捷。然而由于现在互联网云数据的海量性，如何精准有效地从其中获取数据变得尤为重要。针对海量互联网云数据的数据挖掘的技术研究成为不可缺少的网络数据研究领域一部分。因此，本文将数据网页以及内容间的引用与被引用行为抽象为一种关注关系，根据对此关系的分析与综合处理，设计并实现了一种互联网云数据挖掘方法。

Implement of internet cloud data mining method based on following relationship

With the rapid development of internet technology, it is more simple and convenient to get the data on the internet. Because of the mass of internet cloud data now, it becomes particularly important to get data accurately and efficiently from it. So in view of the efficient mining of massive internet cloud data has become an indispensable part of network data field. Therefore, this paper abstracts the reference relationship between the sites and content as the following relationship. Based on the analysis and synthesis of the relationship, an internet cloud data mining method is designed and implemented.