一种集成化的数据挖掘方法[EB/OL]
北京：中国科技论文在线
构建了一个依据于本体和上下文知识集成的归纳学习算法并验证了该算法的有效性
） 摘要： 本文主要探讨了本体与上下文知识的集成化表示方法
包括上下文知识分类方法、如何在本体描述方法上扩展上下文知识及上下文知识转化方法
及以层次化结构的本体与上下文知识为例
上下文知识
归纳学习算法 Xing Dongli *
） Abstract： The integration model of ontology and context knowledge is presented, which includes context information categories, context information extended on ontology models and context transformation method
Based on those, using the hierarchy structure of the ontology and context knowledge integration model as an example, the reduced learning algorithm is presented in term of the integration ontology and context knowledge
The experiment of the reduced learning is presented and its result is more effective and accurate
Keywords： data mining; ontology; context knowledge; induced learning algorithm 下载PDF阅读器 PDF全文下载： 初稿 （ 240 ） 作者简介： 通信联系人： 【收录情况】 中国科技论文在线： 邢冬丽
