一种交互式自动挖掘知识的模型  

An Interactive DAM Model of Mining Knowledge Automatically

作　　者：舒风笛[1] 曹加恒[1] 张凯[1] 付杰[1] 刘莉萍 

机构地区：[1]武汉大学数学与计算机科学学院,软件工程国家重点实验室武汉430072

出　　处：《武汉大学学报（自然科学版）》1999年第5期581-584,共4页Journal of Wuhan University(Natural Science Edition)

基　　金：湖北省科委重点项目

摘　　要：提出一种交互式自动挖掘知识的模型，论述了该模型的原理、实现机制，并讨论了模型中数据宝藏和影响域及其相互关系．该模型同时具有在线性与深入挖掘的优点，能灵活有效地满足实际应用的需求．Acquiring deep information from vast data, which is help for producing new knowledge, is a challenging task in the field of information science. The paper put forward an interactive model of mining knowledge automatically. It introduces the principle and mechanism of the model, and discusses the data mines and influence domain of the model and the relationship between them. The model has the advantages of being online and mining deeply, it can work more flexibly and effectively in practice.

关 键 词：DAM模型 数据挖掘 影响域 数据宝藏 交互式 

分 类 号：TP311.1[自动化与计算机技术—计算机软件与理论]