基于关注关系的互联网云数据挖掘方法实现  

Implementation of Internet Cloud Data Mining Method Based on Following Relationship

作　　者：吕春荣 叶施仁[1] LüChunrong;Ye Shiren(School of Information Science&Engineering,Changzhou University,Changzhou　213164)

机构地区：[1]常州大学信息科学与工程学院,江苏常州213164

出　　处：《计算机测量与控制》2018年第3期183-186,共4页Computer Measurement &Control

摘　　要：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;针对海量互联网云数据的数据挖掘技术的研究也成为网络数据研究领域不可缺少的一部分;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;因此,提出了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的方法,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。实验结果表明该方法能够较好地实现对于互联网云数据的精准挖掘。With the rapid development of internet technology,it is more simple and convenient to get the data on the internet.So in view of the efficient mining of massive internet cloud data has become an indispensable part of network data field.Because of the mass of internet cloud data now,it becomes particularly important to get data accurately and efficiently from it.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.The experimental results show that this method can achieve higher accuracy to the mining on the internet.

关 键 词：互联网 云数据 关注关系 数据挖掘 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]