[1] WILLE R. Restructing lattice theory: An approachbased on hierarchies of concepts [C]//Formal ConceptAnalysis. Dordrecht: Reidel Publishing Company,1982: 314-339.
[2] XIE Z P, LIU Z T. Concept lattice and associationrule discovery [J]. Journal of Computer Research andDevelopment, 2000, 37(12): 1415-1421 (in Chinese).
[3] HAN J W, CAI Y D, CERCONE N. Knowledge discoveryin databases: An attribute-oriented approach[C]//Proceedings of the 18th International Conferenceon Very Large Data Bases. Vancouver, Canada:Morgan Kaufmann, 1992: 547-559.
[4] SOBIESKI S, ZIELI′NSKI B. Modelling role hierarchystructure using the formal concept analysis[C]//Annales UMCS Informatica AI X. [s.l.]: Versita,2010: 143-159.
[5] BORDAT J P. Calcul pratique du treillis de Galoisd’une correspondance [J]. Math′ematiques Et SciencesHumaines, 1986, 96: 31-47.
[6] CHEIN M. Algorithme de recherche des sou-matricespremi`eres d’une matrice [J]. Bull Math Soe, Sci, 1969,13: 21-25.
[7] GANTER B, WILLE R. Formal concept analysis:Mathematical foundations [M]. New York, USA:Springer-Verlag, 1997.
[8] STUMME G, TAOUIL R, BASTIDE Y, et al.Fast computation of concept lattices using datamining techniques [C]//Proceedings of 7th InternationalWorkshop on Knowledge Representation MeetsDatabases. Berlin, Germany: [s.n.], 2000: 129-139.
[9] NOURINE L, RAYNAUD O. A fast algorithm forbuilding lattices [J]. Information Processing Letters,1999, 71(5/6): 199-204.
[10] GODIN R, MISSAOUI R, ALAOUI H. Incrementalconcept formation algorithms based on Galois (concept)lattices [J]. Computational Intelligence, 1995,11(2): 246-267.
[11] LINDIG C, GBR G D. Fast concept analysis[EB/OL]. [2018-08-23]. https://www.researchgate.net/publication/2812391 Fast Concept Analysis
[12] QI H. Knowledge discovery methods research based onformal concept analysis [D]. Changchun, China: Collegeof Computer Science and Technology, Jilin University,2005 (in Chinese).
[13] JIN Y. Research on algorithms for sequential patternmining based on concept lattice [D]. Changchun,China: College of Computer Science and Technology,Jilin University, 2007 (in Chinese).
[14] XIE R, LI H X, MA J, et al. Hierarchic constructionof concept lattice [J]. Journal of Southwest JiaotongUniversity, 2005, 40(6): 837-841 (in Chinese).
[15] XIE Z P. Research on knowledge discovery based onconcept lattice model [D]. Hefei, China: School ofComputer Science and information Engineering, HefeiUniversity of Technology China, 2001 (in Chinese).
[16] KUZNETSOV S O. A fast algorithm for computing allintersections of objects in a finite semi-lattice [J]. AutomaticDocumentation and Mathematical Linguistics,1993, 27(5): 11-21.
[17] OUTRATA J, VYCHODIL V. Fast algorithm for computingfixpoints of Galois connections induced byobject-attribute relational data [J]. Information Sciences,2012, 185(1): 114-127.
[18] KRAJCA P, OUTRATA J, VYCHODIL V. Parallel algorithmfor computing fixpoints of Galois connections[J]. Annals of Mathematics and Artificial Intelligence,2010, 59(2): 257-272.
[19] QI H, LIU D Y, HU C Q, et al. An algorithm forgenerating concepts based on search space partition[J]. Journal of Software, 2005, 16(12): 2029-2035 (inChinese).
[20] ZHANG K, HU Y F, WANG Y. An IRST-based algorithmfor construction of concept lattices [J]. Journalof Computer Research and Development, 2004, 41(9):1493-1499 (in Chinese).
[21] CHENG K. Construction method of concept lattice[D]. Chengdu, China: School of Mathematics, SouthwestJiaotong University, 2012 (in Chinese).
[22] LI X, SHAO M W, ZHAO X M. Constructing latticebased on irreducible concepts [J]. InternationalJournal of Machine Learning and Cybernetics, 2017,8: 109-122.
[23] CARPINETO C, ROMANO G. GALOIS: Anorder-theoretic approach to conceptual clustering[C]//Proceedings of the 10th International Conferenceon Machine Learning. Amherst, USA: [s.n.], 1993: 33-40.
[24] MERWE D V D, OBIEDKOV S, KOURIE D. Addintent:A new incremental algorithm for constructingconcept lattices [C]//International Conference on FormalConcept Analysis. Berlin, Germany: Springer,2004: 372-385.
[25] XIE R. Study on constructing algorithms of conceptlattice [D].Chengdu, China: School of Mathematics,Southwest Jiaotong University, 2006 (in Chinese).
[26] XIE Z P, LIU Z T. A fast incremental algorithm forbuilding concept lattice [J]. Chinese Journal of Computers,2002, 25(5): 490-496 (in Chinese).
[27] LI Y, LIU Z T, CHEN L, et al. Attribute-based incrementalformation algorithm of concept lattice [J].Mini-Micro Systems, 2004, 25(10): 1768-1771 (inChinese).
[28] SHEN X J, HAN D J, LIU Z T, et al. Improvementon constructing algorithms of concept lattices [J].Computer Engineering and Applications, 2004, 40(24):100-103 (in Chinese).
[29] ZHI H L. Research on key technologies in constructingand application of concept lattice [D]. Shanghai,China: School of Computer Engineering and Science,Shanghai University, 2010 (in Chinese).
[30] ZHI H L, ZHI D J. Theory and algorithms of conceptlattice incremental construction based on attributes[J]. Computer Engineering and Applications, 2012,48(26): 17-21 (in Chinese).
[31] ZOU L G, ZHANG Z P, LONG J. A fast incrementalalgorithm for constructing concept lattices [J]. ExpertSystems with Applications, 2015, 42(9): 4474-4481.
[32] LIU L F, WU M D, WANG D, et al. Building conceptlattices based on attribute reduction [J]. ComputerEngineering and Science, 2007, 29(6): 140-142(in Chinese).
[33] ZHAN L Q, LIU D X. Study on FCI mining algorithmsbased on concept lattice [J]. Journal of Harbin EngineeringUniversity, 2007, 28(2): 194-197 (in Chinese).
[34] OUTRATA J. A lattice-free concept lattice update algorithm[J]. International Journal of General Systems,2016, 45(2): 211-231.
[35] ZHANG L, ZHANG H L, YIN L H, et al. Theory andalgorithms of attribute decrement for concept lattice[J]. Journal of Computer Research and Development,2013, 50(2): 248-259 (in Chinese).
[36] CARPINETO C, ROMANO G. Concept data analysis:Theory and applications [M]. London, UK: JohnWiley,2004.
[37] ZHANG L, ZHANG H, SHEN X, et al. An incrementalrnal of Computational Information Systems, 2013,9: 3363-3372.
[38] GODIN R, MILI H, MINEAU G W, et al. Design ofclass hierarchies based on concept (Galois) lattices [J].Theory and Practice of Object Systems, 1998, 4(2):117-133.
[39] LINDIG C, SNELTING G. Assessing modular structureof legacy code based on mathematical conceptanalysis [C]//Proceedings of the 19th internationalconference on Software engineering. Boston, USA:ACM, 1997: 349-359.
[40] GODIN R, MISSAOUI R. An incremental concept formationapproach for learning from databases [J]. TheoreticalComputer Science, 1994, 133: 387-419.
[41] PASQUIER N, BASTIDE Y, TAOUIL R, et al. Closedsets based discovery of small covers for associationrules [C]//BDA’1999 International Conference on AdvancedDatabases. Bordeaux, France: [s.n.], 1999: 361-381.
[42] KROHN U, DAVIES N J, WEEKS R. Concept latticesfor knowledge management [J]. BT Technology Journal,1999, 17(4): 108-116.
[43] COLE R, EKLUND PW. Scalability in formal conceptanalysis [J]. Computational Intelligence, 1999, 15(1):11-27.
[44] KENT R E, BOWMAN C M. Digital libraries, conceptualknowledge systems, and the Nebula interface[R]. Conway, USA: University of Arkansas, 1995.
[45] VALTCHEV P, MISSAOUI R. Building concept (Galois)lattices from parts: Generalizing the incrementalmethods [C]//Conceptual Structures: Broadening theBase. Berlin, Germany: Springer, 2001: 1-2.