Visualising Computational Intelligence through Converting Data into Formal Concepts

1. Andrews, S.: In-Close, A Fast Algorithm for Computing Formal Concepts (2009), http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-483/paper1.pdf

2. Andrews, S.: Data conversion and interoperability for FCA. In: Conceptual Structures Tools Interoperability Workshop, 17th International Conference on Conceptual Structures (ICCS 2009), Moscow (2009), http://www.kde.cs.uni-kassel.de/ws/cs-tiw2009/proceedings_final_15July.pdf

3. Andrews, S.: In-Close (2010), http://sourceforge.net/projects/inclose

4. Andrews, S., Orphanides, C.: FcaBedrock, a Formal Context Creator. In: Croitoru, M., Ferré, S., Lukose, D. (eds.) ICCS 2010. LNCS, vol. 6208, pp. 181–184. Springer, Heidelberg (2010)

   Chapter  Google Scholar 

5. Andrews, S., Orphanides, C.: FcaBedrock, a Formal Context Creator (2010), http://sourceforge.net/projects/fcabedrock

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

   Google Scholar 

7. Becker, P., Correia, J.H.: The ToscanaJ Suite for Implementing Conceptual Information Systems. In: Ganter, B., Stumme, G., Wille, R. (eds.) Formal Concept Analysis. LNCS (LNAI), vol. 3626, pp. 324–348. Springer, Heidelberg (2005)

   Chapter  Google Scholar 

8. Becker, P., Correia, J.H.: ToscanaJ (2005), http://sourceforge.net/projects/toscanaj

9. Berners-Lee, T.: Why RDF model is different from the XML model (1998), http://www.w3.org/DesignIssues/RDF-XML

10. Frequent Itemset Mining Implementations Repository, http://fimi.cs.helsinki.fi

11. The Friend of a Friend (FOAF) project, http://www.foaf-project.org/

12. Ganter, B., Wille, R.: Formal Concept Analysis: Mathematical Foundations. Springer, Berlin (1998); Translated by C. Franzke

    Google Scholar 

13. Goethals, B., Zaki, M.: Advances in Frequent Itemset Mining Implementations: Report on FIMI 2003. SIGKDD Explorations Newsletter 6(1), 109–117 (2004)

    Article  Google Scholar 

14. Harris, S., Gibbins, N.: 3store: Efficient bulk RDF storage. In: Proceedings of the 1st International Workshop on Practical and Scalable Semantic Web Systems (PSSS) 2003, pp. 1–15 (2003), http://km.aifb.kit.edu/ws/psss03/proceedings/harris-et-al.pdf

15. Horrocks, I., Patel-Schneider, P.F., Van Harmelen, F.: From SHIQ and RDF to OWL: the making of a Web Ontology Language. Web Semantics: Science, Services and Agents on the World Wide Web 1(1), 7–26 (2003), doi:dx.doi.org/10.1016/j.websem.2003.07.001

    Google Scholar 

16. Imberman, S., Domanski, B.: Finding Association Rules from Quantitative Data using Data Booleanization (1999), http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.14.4447&rep=rep1&type=pdf

17. Jin, R., Breitbart, Y., Muoh, C.: Data discretization unification. Knowledge and Information Systems 19(1), 1–29 (2009)

    Article  Google Scholar 

18. Krajca, P., Outrata, J., Vychodil, V.: Parallel Recursive Algorithm for FCA. In: Belohlavek, R., Kuznetsov, S.O. (eds.) Proceeding of the Sixth International Conference on Concept Lattices and their Applications, pp. 71–82. Palacky University, Olomouc (2008)

    Google Scholar 

19. 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, Heidelberg (2008)

    Google Scholar 

20. Passin, T.B.: Explorer’s Guide to the Semantic Web. Manning, Greenwich (2004)

    Google Scholar 

21. Priss, U.: Formal Concept Analysis in Information Science. In: Cronin, B. (ed.) Annual Review of Information Science and Technology. ASIST, vol. 40 (2008)

    Google Scholar 

22. Priss, U.: FcaStone - FCA File Format and Interoperability Software. In: Croitoru, M., Jaschkë, R., Rudolph, S. (eds.) Conceptual Structures and the Web, Proceedings of the Third Conceptual Structures and Tool Interoperability Workshop, pp. 33–43 (2008)

    Google Scholar 

23. Priss, U.: FCA Software Interoperability. In: Belohlavek, R., Kuznetsov, S.O. (eds.) Proceeding of the Sixth International Conference on Concept Lattices and Their Applications, pp. 133–144 (2008)

    Google Scholar 

24. Semantic Web. The Semantic Web (2010), http://semanticweb.org/wiki/Main_Page

25. Slezak, D., Wroblewski, J., Eastwood, V., Synak, P.: Brighthouse: an analytic data warehouse for ad-hoc queries. In: Proceedings of the VLDB Endowment, vol. 1(2), pp. 1337–1345. ACM Digital Library (2008)

    Google Scholar 

26. SPARQL Query Language for RDF, http://www.w3.org/TR/rdf-sparql-query/

27. Stumme, G., Taouil, R., Bastide, Y., Lakhal, L.: Conceptual Clustering with Iceberg Concept Lattices. In: Proceedings of GI-Fachgruppentreffen Maschinelles Lernen 2001, Universitat Dortmund (2001)

    Google Scholar 

28. World Wide Web Consortium. Design Issues (2010), http://www.w3.org/DesignIssues/

29. White, P.W., French, C.D.: Database system with methodology for storing a database table by vertically partitioning all columns of the table. US Patent 5,794,229, August 11 (1998)

    Google Scholar 

30. Wille, R.: Formal Concept Analysis as Mathematical Theory of concepts. In: Ganter, B., Stumme, G., Wille, R. (eds.) Formal Concept Analysis: Foundations and Applications, pp. 1–6. Springer, Berlin (2005)

    Chapter  Google Scholar 

31. Wolff, K.E.: A First Course in Formal Concept Analysis (1993), http://www.fbmn.h-da.de/home/wolff/Publikationen/A_First_Course_in_Formal_Concept_Analysis.pdf

32. Yevtushenko, S.: ConExp. (2006), http://sourceforge.net/projects/conexp

33. Zaki, M.J., Hsiao, C.-J.: Efficient Algorithms for Mining Closed Itemsets and Their Lattice Structure. IEEE Transactions on Knowledge and Data Mining 17(4) (2005)

    Google Scholar 

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