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山东大学学报（理学版） ›› 2015, Vol. 50 ›› Issue (12): 58-64.doi: 10.6040/j.issn.1671-9352.1.2015.051

• 论文 • 上一篇    下一篇

基于概念格的知识发现及其在高校就业数据分析中的应用

覃丽珍1, 李金海2, 王扬扬2   

  1. 1. 昆明理工大学城市学院, 云南 昆明 650051;
    2. 昆明理工大学理学院, 云南 昆明 650500
  • 收稿日期:2015-04-25 修回日期:2015-09-09 出版日期:2015-12-20 发布日期:2015-12-23
  • 通讯作者: 李金海(1984-),男,博士,副教授,研究方向为粗糙集、概念格与粒计算.E-mail:jhlixjtu@163.com E-mail:jhlixjtu@163.com
  • 作者简介:覃丽珍(1982-),女,硕士,助教,研究方向为粗糙集与概念格.E-mail:33942864@qq.com
  • 基金资助:
    国家自然科学基金资助项目(61305057);昆明理工大学“提高经济困难学生综合能力”资助项目(201420)

Concept lattice based knowledge discovery and its application to analysis of employment data in universities

QIN Li-zhen1, LI Jin-hai2, WANG Yang-yang2   

  1. 1. City College, Kunming University of Science and Technology, Kunming 650051, Yunnan, China;
    2. Faculty of Science, Kunming University of Science and Technology, Kunming 650500, Yunnan, China
  • Received:2015-04-25 Revised:2015-09-09 Online:2015-12-20 Published:2015-12-23

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摘要： 形式概念分析是数据分析与知识发现的有效工具,现已被广泛应用于各个研究领域。决策形式背景是形式概念分析中的重要关系数据库之一,其主要研究内容是基于规则提取的知识发现。本文借助于Wille概念格和面向对象概念格对决策形式背景的规则提取问题进行研究,给出了规则提取算法,并通过高校就业数据对算法进行了实证分析。

关键词: 知识发现, 决策形式背景, 就业数据分析, 概念格, 规则提取

Abstract: Formal concept analysis is an effective tool in data analysis and knowledge discovery, and it has been applied in various fields. Formal decision context is one of the key relational datasets in formal concept analysis and rule acquisition based knowledge discovery is its main research topic. In this paper, Wille's concept lattice and object-oriented concept lattice are used to study rule acquisition in formal decision context, the corresponding rule acquisition algorithm is explored, and employment data from universities is employed to illustrate the feasibility of the proposed algorithm.

Key words: formal decision context, knowledge discovery, concept lattice, rule acquisition, analysis of employment data

中图分类号: 

  • TP301
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