基于概念格的异构数据知识发现方法

发布时间：2018-02-20 07:33

本文关键词： 概念格异构形式背景异构决策形式背景知识发现　出处：《计算机科学》2017年09期 　论文类型：期刊论文

【摘要】：基于概念格的知识发现方法已被广泛关注,同时也吸引了众多学者的研究兴趣,特别是决策形式背景的知识发现,近年来取得了一些重要的研究成果。然而,现有的知识发现方法在面临大数据环境时,缺乏可行性与有效性。考虑到异构性是大数据的主要数据特征之一,针对异构数据,研究了基于概念格的知识发现方法。具体地,提出了异构形式背景及其概念格,通过异构形式背景定义了异构决策形式背景,进一步在异构决策形式背景上讨论了规则提取问题,并给出了挖掘非冗余决策规则的有效算法。
[Abstract]:The knowledge discovery method based on concept lattice has been paid more and more attention, and it has attracted the interest of many scholars, especially the knowledge discovery of decision form background, which has made some important research achievements in recent years. However, The existing knowledge discovery methods lack feasibility and effectiveness in the face of big data environment. Considering that heterogeneity is one of the main data characteristics of big data, this paper studies the knowledge discovery method based on concept lattice for heterogeneous data. This paper presents a heterogeneous formal background and its concept lattice, defines the heterogeneous decision formal background through the heterogeneous formal background, further discusses the rule extraction problem in the heterogeneous decision form background, and gives an effective algorithm for mining non-redundant decision rules.
【作者单位】：昆明理工大学理学院;
【基金】：国家自然科学基金(61305057,61562050,61573173)资助
【分类号】：O153.1

【相似文献】