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Andrews, Simon J (2009)
Languages: English
Types: Unknown

This paper proposes a tool that converts non-FCA format data files into an FCA format, thereby making a wide range of public data sets and data produced by non-FCA tools interoperable with FCA tools. This will also offer the power of FCA to a wider community of data analysts. A repository of converted data is also proposed, as a consistent resource of public data for analysis and for the testing, evaluation and comparison of FCA tools and algorithms.

  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

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    • 3. Asuncion, A., Newman, D. J.: UCI Machine Learning Repository [http://www.ics.uci.edu/∼mlearn/MLRepository.html]. Irvine, CA: University of California, School of Information and Computer Science (2007).
    • 4. 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).
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    • 7. Priss, U.: FcaStone - FCA File Format and Interoperability Software. In: Croitoru, M., Jaschk¨e, R., Rudolph, S. (eds.), Conceptual Structures and the Web, Proceedings of the Third Conceptual Structures and Tool Interoperability Workshop, pp. 33-43 (2008).
    • 8. 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).
    • 9. Wang, J., Han, J., and Pei, J.: CLOSET+: searching for the best strategies for mining frequent closed itemsets. Proceedings of the Ninth ACM SIGKDD international Conference on Knowledge Discovery and Data Mining, pp. 236-245, ACM, New York (2003).
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