Table of Contents Author Guidelines Submit a Manuscript
The Scientific World Journal
Volume 2014 (2014), Article ID 275679, 13 pages
http://dx.doi.org/10.1155/2014/275679
Research Article

Deep First Formal Concept Search

1School of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, China
2School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China
3College of Foreign Languages, Yanshan University, Qinhuangdao 066004, China

Received 11 June 2014; Accepted 21 July 2014; Published 31 August 2014

Academic Editor: Yunqiang Yin

Copyright © 2014 Tao Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. B. Ganter and R. Wille, Formal Concept Analysis: Mathematical Foundations, Springer, Berlin, Germany, 1999. View at Publisher · View at Google Scholar · View at MathSciNet
  2. M. Kaytoue, S. O. Kuznetsov, A. Napoli, and S. Duplessis, “Mining gene expression data with pattern structures in formal concept analysis,” Information Sciences, vol. 181, no. 10, pp. 1989–2001, 2011. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  3. T. Abudawood, “Improving predictions of multiple binary models in ILP,” The Scientific World Journal, vol. 2014, Article ID 739062, 10 pages, 2014. View at Publisher · View at Google Scholar
  4. Y. Du and Y. Hai, “Semantic ranking of web pages based on formal concept analysis,” Journal of Systems and Software, vol. 86, no. 1, pp. 187–197, 2013. View at Publisher · View at Google Scholar · View at Scopus
  5. A. Formica, “Semantic Web search based on rough sets and fuzzy formal concept analysis,” Knowledge-Based Systems, vol. 26, pp. 40–47, 2012. View at Publisher · View at Google Scholar · View at Scopus
  6. B. Li, X. Sun, and H. Leung, “Combining concept lattice with call graph for impact analysis,” Advances in Engineering Software, vol. 53, pp. 1–13, 2012. View at Publisher · View at Google Scholar · View at Scopus
  7. B. Li, X. Sun, and J. Keung, “FCA-CIA: an approach of using FCA to support cross-level change impact analysis for object oriented Java programs,” Information and Software Technology, vol. 55, no. 8, pp. 1437–1449, 2013. View at Publisher · View at Google Scholar · View at Scopus
  8. L. Seremeti and K. Ioannis, “Yoneda philosophy in engineering,” International Journal of Engineering Mathematics, vol. 2013, Article ID 758729, 11 pages, 2013. View at Publisher · View at Google Scholar
  9. X. Kang, D. Li, and S. Wang, “Research on domain ontology in different granulations based on concept lattice,” Knowledge-Based Systems, vol. 27, pp. 152–161, 2012. View at Publisher · View at Google Scholar · View at Scopus
  10. J. Outrata and V. Vychodil, “Fast algorithm for computing fixpoints of Galois connections induced by object-attribute relational data,” Information Sciences, vol. 185, pp. 114–127, 2012. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  11. F. Škopljanac-Mačina and B. Blašković, “Formal concept analysis—overview and applications,” Procedia Engineering: Proceedings of the 24th DAAAM International Symposium on Intelligent Manufacturing and Automation( ISIMA '13), vol. 69, pp. 1258–1267, 2014. View at Publisher · View at Google Scholar
  12. J. Pang, X. Zhang, and W. Xu, “Attribute reduction in intuitionistic fuzzy concept lattices,” Abstract and Applied Analysis, vol. 2013, Article ID 271398, 12 pages, 2013. View at Publisher · View at Google Scholar
  13. C. Zhang, J. Ruan, H. Huang, L. Li, and B. Yang, “An algorithm on generating lattice based on layered concept lattice,” Telkomnika—Indonesian Journal of Electrical Engineering, vol. 11, no. 8, pp. 4477–4483, 2013. View at Google Scholar
  14. C. Zhang, J. Ruan, H. Huang, L. Li, and B. Yang, “Frequent itemsets mining based on concept lattice and sliding window,” Telkomnika—Indonesian Journal of Electrical Engineering, vol. 11, no. 8, pp. 4780–4787, 2013. View at Google Scholar
  15. C. Zhang, J. Ruan, H. Xia, H. Huang, and B. Yang, “A frequent pattern mining algorithm based on concept lattice,” Sensors & Transducers, vol. 156, no. 9, pp. 351–359, 2013. View at Google Scholar
  16. H. Hidenobu, T. Takanari, H. Fumiaki, H. Nur, S. Kazuhito, and N. Hajime, “An algorithm for recomputing concepts in microarray data analysis by biological lattice,” Journal of Advanced Computational Intelligence and Intelligent Informatics, vol. 17, no. 5, pp. 761–771, 2013. View at Google Scholar
  17. Y. Yang, “Parallel construction of variable precision concept lattice in fuzzy formal context,” AASRI Procedia: 2013 AASRI Conference on Parallel and Distributed Computing and Systems, vol. 5, pp. 214–219, 2013. View at Publisher · View at Google Scholar
  18. L. Yang, Y. Wang, and Y. Xu, “A combination algorithm of multiple lattice-valued concept lattices,” International Journal of Computational Intelligence Systems, vol. 6, no. 5, pp. 881–892, 2013. View at Publisher · View at Google Scholar · View at Scopus
  19. L. Zhang, H. Zhang, L. Yin, and D. Han, “Theory and algorithms of attribute decrement for concept lattice,” Computer Research and Development, vol. 50, no. 2, pp. 248–259, 2013. View at Google Scholar · View at Scopus
  20. L. Zhang, H. Zhang, X. Shen, and L. Yin, “An incremental algorithm for removing object from concept lattice,” Journal of Computational Information Systems, vol. 9, no. 9, pp. 3363–3372, 2013. View at Publisher · View at Google Scholar · View at Scopus
  21. X. Gong, “A novel incorporate algorithm of concept lattice,” Advanced Materials Research, vol. 756, pp. 2803–2807, 2013. View at Google Scholar
  22. J. Muangprathub, V. Boonjing, and P. Pattaraintakorn, “A new case-based classification using incremental concept lattice knowledge,” Data and Knowledge Engineering, vol. 83, pp. 39–53, 2013. View at Publisher · View at Google Scholar · View at Scopus
  23. T. Zhang and H. Ren, “Attribute topology of formal context,” Journal of Chinese Computer Systems, vol. 35, no. 3, pp. 590–593, 2014. View at Google Scholar
  24. T. Zhang, H. Ren, X. Wang, Y. Zhang, and W. Hong, “A calculation of formal concept by attribute topology,” ICIC Express Letters B: Applications, vol. 4, no. 3, pp. 793–800, 2013. View at Google Scholar · View at Scopus
  25. T. Zhang, H. Ren, W. Hong, and H. Li, “The visual calculation of formal concept based on the attribute topology,” Acta Electronica Sinica, vol. 42, no. 5, pp. 918–924, 2014. View at Google Scholar