[1]杜秋香,张继福,张素兰.概念特化的概念格更新构造算法[J].智能系统学报,2008,3(05):443-448.
 DU Qiu-xiang,ZHANG J i-fu,ZHANG Su-lan.An improved algor ithm based on concept spec ialization for constructing concept lattices[J].CAAI Transactions on Intelligent Systems,2008,3(05):443-448.
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概念特化的概念格更新构造算法(/HTML)
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《智能系统学报》[ISSN:1673-4785/CN:23-1538/TP]

卷:
第3卷
期数:
2008年05期
页码:
443-448
栏目:
出版日期:
2008-10-25

文章信息/Info

Title:
An improved algor ithm based on concept spec ialization for constructing concept lattices
文章编号:
1673-4785 (2008) 05-0443-06
作者:
杜秋香张继福张素兰
太原科技大学计算机科学与技术学院,山西太原030024
Author(s):
DU Qiu-xiang ZHANG J i-fu ZHANG Su-lan
School of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan 030024, China
关键词:
概念格渐进式构造概念特化更新构造
Keywords:
concep t lattice incremental constructing concep t specialization updating construction
分类号:
TP311
文献标志码:
A
摘要:
概念格是形式概念分析中的核心数据结构,概念格应用的瓶颈之一是其构造效率. 针对形式背景的某个属性分解为多个新属性得到更加特化的概念,给出了一种基于概念特化的渐进式更新构造算法. 该算法利用分解后的新属性及其相应的形式背景,构造出的概念格与原概念格的某个子概念格作比较,来更新构造概念格,从而减少了比较次数,提高了更新构造的效率. 以天体光谱数据作为形式背景,实验验证了该算法的正确性和有效性.
Abstract:
Concep t lattices are the core data structures in formal concep t analysis. The widesp read app lication of con2 cep t analysis is limited by the difficulty of constructing a concep t lattice. An incrementally updating construction algo2 rithm based on concep t spcializationwas developed after itwas realized that the attributes in the formal context can be decomposed into several new attributes, ormore specialized concep ts. The algorithm, with decomposed attributes and a corresponding formal context, compares the concep t lattice formed with the new attributes and one of the sub2lattices of the original concep t lattice, then upgrades the concep t lattice according to results from the comparisons. In this way the number of comparisons is reduced and the efficiency of constructing the concep t lattice is imp roved. Experi2 ment results, with celestial spectrum data as the formal context, verified the validity of the algorithm

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期: 2008-03-21.
 基金项目:山西省自然科学基金资助项目(2006011041) .
作者简介:
杜秋香, 女, 1982 年生, 硕士研究生,主要研究方向为概念格与数据挖掘.
张继福,男, 1963年生,教授,博士, 主要研究方向为数据挖掘、模式识别与智能信息系统. 已发表学术论文60 余篇,其中被SCI、EI收录20余篇.
张素兰,女, 1971 年生,副教授,主要研究方向为概念格与数据挖掘. 已发表学术论文20余篇,其中被SCI、EI收录10余篇.
通信作者:杜秋香. E-mail: janny123@163. com.
更新日期/Last Update: 2009-05-18