一种交互式自动挖掘知识的模型

一种交互式自动挖掘知识的模型 An Interactive DAM Model of Mining Knowledge Automatically 舒风笛 SHU Feng\|di 1 2 first-author 曹加恒 CAO Jia\|heng 1 2 张凯 ZHANG Kai 1 2 付杰 FU Jie 1 2 刘莉萍 LIU Li\|ping 1 2 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 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 College of Mathematics and Computer Science/State Key Laboratory of Software Engineering, Wuhan University College of Mathematics and Computer Science/State Key Laboratory of Software Engineering, Wuhan University 武汉大 武汉大 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. DAM模型 数据挖掘 影响域 数据宝藏 DAM model data mining influence domain data mines TP311.13 湖北省科委重点项目 1999-05-01 2021-04-01 5