[1]张继福,张素兰,胡立华.约束概念格及其构造方法[J].智能系统学报,2006,1(2):31-38.
 ZHANG Ji-fu,ZHANG Su-lan,HU Li-hua.Constrained concept lattice and its construction method[J].CAAI Transactions on Intelligent Systems,2006,1(2):31-38.
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约束概念格及其构造方法

参考文献/References:
[1]WILLE R.Restructuring lattice theory: an approaches based on hi erar chies of concepts[A]. In:Rival I ed.Ordered Sets[M]. Dordrecht: Reideal,198 2 .
[2]GODIN R, MISSAOUI R. An Incremental concept formation approach fo r learning from databases [J] . Theoretical Computer Science, 1994,133(2):38 7-419.
[3]BELEN D A,PEDRO A. Formal concept analysis as a support techniq ue for CBR[J]. Knowledgebased Systems,2001,14(3):163-171.
[4]YOUNG P. Software retrieval by samples using concept analysis [J] .The Journal of Systems and Computer,2000,54(3):179-183.[5]CHU S, CESNIK B. Knowledge representation and retrieval usin g conceptual graphs and free document selforganisation techniques[J].Interna tional Journal of Medical Informatics,2001,62(2/3):121-33.
[6]KENT R E. Rough concept analysis[A].In: Ziarko W P ed. Rough Sets, F uzzy Sets and Knowledge Discovery (RSKD,93)[C]. London : SpringerVerlag , 1 9 94.
[7]CARPINETO C, ROMANO G. A lattice conceptual clustering system and its application to browsing retrieval [J] . Maching Learning, 1996,24(2):95- 122.
[8]王志海,胡可云,胡学钢,等. 概念格上规则提取的一般算法与渐进式算法[J ].计算机学报,1999,22(1):66-70. WANG Zhihai, HU Keyun, HU Xuegang,et al. General and incremental algorithms of rule extraction based on concept lattice[J].Chinese Journal of Computers, 19 99,22(1):66-70.[9]陈世权,程里春.模糊概念格[J].模糊系统与数学, 2002, 16(4):12-18 . CHEN Shiquan,CHENG Lichun. Fuzzy concept lattice[J]. Fuzzy Systems and Mat hematics, 2002, 16(4): 12-18.
[10]NOURINE L,RAYNAUD O. A fast algorithm for building lattices[J].In formation Processing Letters,1999,71(5-6):199-204.
[11]谢志鹏,刘宗田. 概念格的快速渐进式构造算法[J].计算机学报, 2002, 25(5):490-495. XIE Zhipeng,LIU Zongtian. A fast incremental algorithm for building concept la ttice[J].Chinese Journal of Computers, 2002, 25(5):490-495.
[12]HAN J, KAMBR M.Data mining concepts and techniques [M]. San Frans isco:Morgan K aufmann Publishers,2000.
[13]HAN J,LAKS V S,Raymond T. ConstraintBased Multidimensional data Mining [J] .Compuer,1999,32(8):46-50.[14]张 凯,胡运发,王 瑜. 基于互关联后继树的概念格构造算法[J]. 计算机研究与发展, 2004,41(9):1493-1499. ZHANG Kai, HU Yunfa,WANG Yu. An IRSTbased algorithm for construction of c oncept lattices[J]. Journal of Computer Research and Development, 2004, 41(9): 1493-1499
[15]覃冬梅.天体光谱信号的自动识别方法研究[D].北京:中国科学院自动化研究所,2003. QIN Dongmei. The research on automatic recognition of astronomical spectra data [D].Beijing:Institute of Automation Chinese Academy of Sciences,200 3.
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备注/Memo

收稿日期:2006-02-15
基金项目:国家自然科学基金资助项目(60573075).
作者简介:
张继福,男,教授,2005年毕业于北京理工大学,获工学博士学位,CCF高级会员,主要研究方向:数据仓库与数据挖掘、人工智能及应用.已发表学术论文50余篇,其中被SCI、EI 收录20余篇.Email:jifuzh@sina.com.
张素兰,女,副教授,2003年毕业于太原科技大学,获工学硕士学位,主要研究方向:概念格与数据挖掘.已发表学术论文10余篇.
胡立华,女,助教,2006年毕业于太原科技大学,获工学硕士学位,主要研究方向:概念格与数据挖掘.已发表学术论文3篇. 

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