[1]温云霞,王俊红.横向拆分形势背景下的快速规则提取方法[J].智能系统学报,2016,11(4):526-533.[doi:10.11992/tis.201606008]
WEN Yunxia,WANG Junhong.Research on a fast method for extracting rules based on horizontal splitting[J].CAAI Transactions on Intelligent Systems,2016,11(4):526-533.[doi:10.11992/tis.201606008]
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《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
11
期数:
2016年第4期
页码:
526-533
栏目:
学术论文—知识工程
出版日期:
2016-07-25
- Title:
-
Research on a fast method for extracting rules based on horizontal splitting
- 作者:
-
温云霞1, 王俊红1,2
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1. 山西大学 计算机与信息技术学院, 山西 太原 030006;
2. 计算智能与中文信息处理教育部重点实验室, 山西 太原 030006
- Author(s):
-
WEN Yunxia1, WANG Junhong1,2
-
1. School of Computer and Information Technology, Shanxi University, Taiyuan 030006, China;
2. Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education, Taiyuan 030006, China
-
- 关键词:
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概念格; 形式背景; 子背景; 规则提取; 伪规则; 规则合并
- Keywords:
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concept lattice; formal context; subcontext; extracting rules; pseudo rule; combination of the rule set
- 分类号:
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TP18
- DOI:
-
10.11992/tis.201606008
- 摘要:
-
概念格是进行数据挖掘和规则提取的一种有效工具。目前已经提出的概念格上的规则提取方法大多是针对整个形式背景,得到的规则数目较多,规则集规模较大,且这种规则结构不便于两个规则集的合并。针对这个问题,本文提出一种伪规则的概念,并给出渐近式获取伪规则的方法;同时证明了通过伪规则集,用户可以根据自己的兴趣有选择地从伪规则集合中产生出所需的蕴含规则;提出了将两个伪规则集进行合并的方法,从而用户可以通过拆分合并的思想来获取规则集;最后通过实验分析验证了算法的有效性。
- Abstract:
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The concept lattice is a valid tool for data mining and rule extraction. The methods of extracting rules from the concept lattice are based mainly on the whole formal context, but this results in a large number of rules and rule sets, and it is difficult to combine the rule sets subsets with the original structure. In this paper, the concept of a pseudo rule set and its incremental determination method is given; users can get the needed implication rules from the pseudo rule set, according to their interests. A method of combining two pseudo rule sets is then given. Users may therefore get their rule sets by dividing or combining these sets. The effectiveness of this method is proven through experiment analysis.
备注/Memo
收稿日期:2016-06-02。
基金项目:国家自然科学基金项目(612022018,61303008).
作者简介:温云霞,女,1986年生,硕士研究生,主要研究方向为概念格与数据挖掘;王俊红,女,1979年生,副教授,博士,硕士生导师,主要研究方向为粒计算、概念格与数据挖掘。
通讯作者:王俊红.E-mail:wjhwjh@sxu.edu.cn.
更新日期/Last Update:
1900-01-01