数据挖掘与信息融合技术研究  

The research of data mining and information fusion

作　　者：傅春常[1] 张楠[1] 

机构地区：[1]西南民族大学计算机科学与技术学院,四川成都610041

出　　处：《西南民族大学学报（自然科学版）》2012年第4期662-664,共3页Journal of Southwest Minzu University(Natural Science Edition)

基　　金：中央高校专项基金项目(12NZYQN15)

摘　　要：数据挖掘和信息融合都是海量数据处理的方法,数据挖掘通过统计方法寻找数据间的潜在关系,而信息融合则是利用已知信息对目标进行识别.两者在处理数据的原理和所采用的技术虽有所不同,但功能相互补充.讨论了信息融合与数据挖掘的特点,探讨了两种技术的结合,在介绍原理的同时,提出了主要的研究方法.Data mining and information fusion are mass data processing methods, in which data mining uses the statistical methods of the potential relationship between search and data, and information fusion uses known information of target recognition. The principle of data processing and the technology employed are different, but their functions complement each other. This paper discusses the characteristics of data mining and information fusion, and the combination of data mining and information fusion technology, introduces the principle at the same time, and puts forward the main research method.

关 键 词：数据挖掘 信息融合 传感器 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]