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Andrews, Simon; Orphanides, Constantinos
Publisher: University of Seville
Languages: English
Types: Part of book or chapter of book
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • 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)
    • 11. Pensa, R. G., Boulicaut, J-F.: Towards Fault-Tolerant Formal Concept Analysis. In: Banidini, S., Manzoni, S. (eds.) AI*IA 2005, LNAI 3673, pp. 212-223, SpringerVerlag, Berlin/Heidelberg (2005)
    • 12. Priss, U.: FcaStone - FCA File Format and Interoperability Software. In: Croitoru, M., Jaschk¨e, R., Rudolph, S. (eds.) CS-TIW 2008, pp. 33-43 (2008)
    • 13. Stumme, G., Taouil, R., Bastide, Y., Lakhal, L., Conceptual clustering with iceberg concept lattices. In: Proceedings of GIFachgruppentreffen Maschinelles Lernen01, Universitat Dortmund, vol. 763. (2001)
    • 14. Yevtushenko, S.A.: System of data analysis “Concept Explorer”. (In Russian). Proceedings of the 7th national conference on Artificial Intelligence KII-2000, p. 127-134, Russia, 2000.
    • 15. Zaki, M. J., Hsiao, C-J.: Efficient Algorithms for Mining Closed Itemsets and Their Lattice Structure. In: IEEE Transactions on Knowledge and Data Engineering, vol. 17, no. 4, pp. 462-478. IEE Computer Society (2005)
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