Analysis of large data sets using formal concept lattices

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Andrews, Simon ; Orphanides, Constantinos
  • Publisher: University of Seville
  • References (15)
    15 references, page 1 of 2

    1. Andrews, S.: In-Close, A Fast Algorithm for Computing Formal Concepts. In: Rudolph, S., Dau, F., Kuznetsov, S.O. (eds.) ICCS'09, http://sunsite. informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-483/ (2009)

    2. Andrews, S.: Data Conversion and Interoperability for FCA. In: CS-TIW 2009, pp. 42-49, http://www.kde.cs.uni-kassel.de/ws/cs-tiw2009/proceedings_final_ 15July.pdf (2009)

    3. Andrews, S., Orphanides, C.: FcaBedrock, a Formal Context Creator. In: Croitoru, M., Ferre, S. and Lukose, D. (eds.) ICCS 2010, LNAI 6208. Springer-Verlag, Berlin/Heidelberg (2010)

    4. Asuncion, A., Newman, D.J.: UCI Machine Learning Repository http://www.ics. uci.edu/$\sim$mlearn/MLRepository.html. Irvine, CA: University of California, School of Information and Computer Science (2007)

    5. Becker, P., Correia, J.H.: The ToscanaJ Suite for Implementing Conceptual Information Systems. In: Ganter, B., et al. (eds.) Formal Concept Analysis, LNCS (LNAI), vol. 3626, pp. 324-348. Springer-Verlag, Berlin-Heidelberg (2005)

    6. Burley, K.: Data Mining Techniques in Higher Education Research: The Example of Student Retention. A thesis submitted in partial fulfillment of the requirements of Sheffield Hallam University for the degree of Doctor of Education. Sheffield Hallam University (2006)

    7. Ganter, B., Wille, R.: Conceptual Scaling. In: Roberts, F. (ed.) Applications of Combinatorics and Graph Theory to the Biological and Social Sciences. IMA, vol. 17, pp. 139-168, Springer, Berlin-Heidelberg-New York (1989)

    8. Kaytoue-Uberall, M., Duplesssis, S., Napoli, A.: Using Formal Concept Analysis for the Extraction of Groups of Co-expressed Genes. In: Le Thi, H.A., Bouvry, P., Pham Dinh, T. (eds.) MCO 2008. CCIS vol. 14, pp. 439-449. Springer-Verlag, Berlin/Heidelberg (2008)

    9. Krajca, P., Outrata, J., Vychodil, V.: Parallel Recursive Algorithm for FCA. In: Belohlavek, R., Kuznetsov, S.O. (eds.) CLA 2008, pp. 71-82. Palacky University, Olomouc (2008)

    10. Kuznetsov, S., Obiedkov, S., Roth, C.: Reducing the Representation Complexity of Lattice-Based Taxonomies. In: Priss, U., Polovina, S., Hill, R. (eds.) ICCS 2007, LNAI 4604, pp. 241-254. Springer-Verlag, Berlin/Heidelberg (2007)

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