【24h】

The Method Research on Data Mining of Concept Lattice

机译:概念格局数据挖掘的方法研究

获取原文

摘要

Concept lattice in essence describe the links between objects and attributes, demonstratesthe generalization and specialization of concepts. The corresponding Hasse diagrams realize the visualization of the data. At present, formal concept analysis has been extensively studied and applied to many areas, such asinformation retrieval, machine learning andsoftware engineering. Based on the above reasons, it is necessary to research the methods of latticeconcept of data mining. This paper is divided into three parts; the first part introduces the basic concepts of data mining. The second part introduces the basic theory of concept lattices. The last part focuses on the application of concept in data mining.
机译:概念格子本质描述了对象和属性之间的链接,概念的概念和专业化。相应的hasse图来实现数据的可视化。目前,正式的概念分析已被广泛研究并应用于许多领域,如诸如Information检索,机器学习和软件工程。基于以上原因,有必要研究数据挖掘的LattCeconcept方法。本文分为三个部分;第一部分介绍了数据挖掘的基本概念。第二部分介绍了概念格的基本理论。最后一部分侧重于概念在数据挖掘中的应用。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号