Skip to main content
Have a personal or library account? Click to login
Analysis of a Vector Space Model, Latent Semantic Indexing and Formal Concept Analysis for Information Retrieval Cover

Analysis of a Vector Space Model, Latent Semantic Indexing and Formal Concept Analysis for Information Retrieval

Cybernetics and Information Technologies
Volume 12 (2012): Issue 1 (March 2012)
By: ,   and    
Open Access
|Mar 2013
References

References

  1. 1. Ahmad, I. S. Text-Based Image Indexing and Retrieval using Formal Concept Analysis. - KSII Transactions on Internet and Information Systems, Vol. 2, 2008, No 3, 150-170.
    Open DOISearch in Google Scholar
  2. 2. Kumar, A. C., S. Srinivas. Latent Semantic Indexing Using Eigen Value Analysis for Efficient Information Retrieval. - International Journal of Applied Mathematics and Computer Science, Vol. 16, 2006, No 4, 551-558.
    Search in Google Scholar
  3. 3. Kumar, A. C., S. Srinivas. Concept Lattice Reduction Using Fuzzy k Means Clustering. - Expert Systems with Applications, Vol. 37, 2010, No 3, 2696-2704.
    Open DOISearch in Google Scholar
  4. 4. Kumar, A. C., S. Srinivas. Mining Associations in Health Care Data Using Formal Concept Analysis and Singular Value Decomposition. - Journal of Biological Systems, Vol. 18, 2010, No 4, 787-807.
    Open DOISearch in Google Scholar
  5. 5. Kumar, A. C., S. Srinivas. On the Performance of Latent Semantic Indexing Based Information Retrieval. - Journal of Computing and Information Technology, Vol. 17, 2009, No 3, 259-264.
    Open DOISearch in Google Scholar
  6. 6. Kumar, A. C., S. Srinivas. A Note on the Effect of Term Weighting on Selecting Intrinsic Dimensionality of Data. - Cybernetics and Information Technologies, Vol. 9, 2009, No 1, 5-12.
    Search in Google Scholar
  7. 7. Kumar, A. C. Fuzzy Clustering Based Formal Concept Analysis for Association Rules Mining. - Applied Artificial Intelligence, 2012.
    Open DOISearch in Google Scholar
  8. 8. Kumar, A. C. Knowledge Discovery in Data Using Formal Concept Analysis and Random Projections. - International Journal of Applied Mathematics and Computer Science, Vol. 21, 2011, No 4, 745-756.
    Open DOISearch in Google Scholar
  9. 9. Kumar, A. C. Analysis of Unsupervised Dimensionality Reduction Techniques. - Computer Science and Information Systems, Vol. 6, 2009, No 2, 217-227.
    Open DOISearch in Google Scholar
  10. 10. Kumar, A. C., S. Srinivas. A Note on Weighted Fuzzy k-Means Clustering for Concept Decomposition. - Cybernetics and Systems, Vol. 41, 2010, No 6, 455-467.
    Open DOISearch in Google Scholar
  11. 11. Becker, P., P. Eklund. Prospectus for Document Retrieval Using Formal Concept Analysis. - In: Proceedings of 6th Australasian Document Computing Symposium, 2001.
    Search in Google Scholar
  12. 12. Berry, M. W. et al. Matrices, Vector Spaces, and Information Retrieval. - SIAM Review, Vol. 41, 1999, No 2, 335-362.
    Open DOISearch in Google Scholar
  13. 13. Carpineto, C., G. Romano. Concept Data Analysis: Theory and Applications. John Wiley and Sons, 2004.
    Open DOISearch in Google Scholar
  14. 14. Carpineto, C., G. Romano. Using Concept Lattices for Text Retrieval and Mining. Formal Concept Analysis: Foundations and applications, LNCS 3626, 2005, 161-179.
    Open DOISearch in Google Scholar
  15. 15. Codocedo, V., C. Taramasco, H. Astudillo. Cheating to Achieve Formal Concept Analysis over a Large Formal Context. - In: Proceedings of the Concept Lattices and Their Applications, 2011, 349-362.
    Search in Google Scholar
  16. 16. Deerwester, S., S. Dumais, G. Furnas, T. Landauer, R. Harshman. Indexing by Latent Semantic Analysis. - Journal of American Society for Information Science, Vol. 41, 1990, No 6, 391-407.
    Open DOISearch in Google Scholar
  17. 17. Diaz-Agudo, B., P. A. Gonzalez-Calero. Formal Concept Analysis as a Support Technique for CBR. - Knowledge Based Systems, Vol. 14, 2004, 163-171.
    Open DOISearch in Google Scholar
  18. 18. Dominich, S. The Modern Algebra of Information Retrieval. Springer, 2008.
    Search in Google Scholar
  19. 19. Eklund, P., P. Goodall, T. Wray. Information Retrieval and Social Tagging for Digital Libraries using Formal Concept Analysis. - In: Proceedings of International Conference on Computing and Communication Technologies, Research, Innovation, and Vision for the Future, 2010, 1-6.
    Open DOISearch in Google Scholar
  20. 20. Evangelopoulos, N., Z. Zhang, V. R. Prybutok. Latent Semantic Analysis: Five Methodological Recommendations. - European Journal of Information Systems, Vol. 21, 2012, 70-86.
    Open DOISearch in Google Scholar
  21. 21. Formica, A. Semantic Web Search Based on Rough Sets and Formal Concept Analysis. Knowledge Based Systems, 2011.
    Open DOISearch in Google Scholar
  22. 22. Ganter, B., R. Wille. Formal Concept Analysis: Mathematical Foundations. Berlin, Springer, 1999.
    Open DOISearch in Google Scholar
  23. 23. Hossain, M. M., V. Prybutok, N. Evangelopoulos. Casual Latent Semantic Analysis: An Illustration. - International Business Research, Vol. 4, 2011, No 2, 38-50.
    Open DOISearch in Google Scholar
  24. 24. Nizar, M., M. D. Devignes, A. Napoli, M. Smail-Tabbone. BR-Explorer: An FCA Based Algorithm for Information Retrieval. - In: Proceedings of 4th International Conference on Concept Lattices and Their Applications, 2006, 285-290.
    Search in Google Scholar
  25. 25. Poshyvanyk, D., A. Marcus. Combining Formal Concept Analysis with Information Retrieval for Concept Location in Source Code. - In: Proceedings of the 15th IEEE International Conference on Program Comprehension, 2007, 37-48.
    Open DOISearch in Google Scholar
  26. 26. Poshyvanyk, D., M. Gethers, A. Marcus. Concept Location using Formal Concept Analysis and Information Retrieval. ACM Transactions on Software Engineering and Methodology, 2012 (to appear).
    Open DOISearch in Google Scholar
  27. 27. Priss, U. Formal Concept Analysis in Information Science. - Annual Review of Information Science and Technology, Vol. 40, 2007, 521-543.
    Open DOISearch in Google Scholar
  28. 28. Priss, U. Lattice Based Information Retrieval. - Knowledge Organization, Vol. 27, 2000, No 3, 132-142.
    Search in Google Scholar
  29. 29. Rajapakse, R. K., M. Denham. Text Retrieval with More Realistic Concept Matching and Reinforcement Learning. - Information Processing and Management, Vol. 42, 2006, 1260-1275.
    Open DOISearch in Google Scholar
  30. 30. Snasel, V., P. Gajdos, M. D. A. Hussam, M. Polovincak. Using Matrix Decompositions in Formal Concept Analysis. - In: Proceedings of 10th International Conference on Information System Implementation & Modeling, 2007, 121-128.
    Search in Google Scholar
  31. 31. Srinivas, S., A. C. Kumar. Optimizing Heuristics in Latent Semantic Indexing for Effective Information Retrieval. - Journal of Information and Knowledge Management, Vol. 5, 2006, No 2, 97-105.
    Open DOISearch in Google Scholar
  32. 32. Stumme, G. Formal Concept Analysis. Handbook of Ontologies. Springer, 2009, 177-199.
    Open DOISearch in Google Scholar
  33. 33. Wang, Q., J. Hu, H. Li, N. Craswell. Regularized Latent Semantic Indexing. - In: Proceedings of the 34th ACM SIGIR Conference on Research and Development in Information Retrieval, 2011, 685-694.
    Open DOISearch in Google Scholar
  34. 34. Yassine, D. Extended Galois Derivation Operators for Information Retrieval Based on Fuzzy Formal Concept Lattice. - In: Proceedings of Scalable Uncertainty Management, LNAI 6929, 2011, 346-358.
    Open DOISearch in Google Scholar
  35. 35. Yates, R. B., B. R. Neto. Modern Information Retrieval. New Delhi, Pearson Education, 2004.
    Search in Google Scholar
DOI: https://doi.org/10.2478/cait-2012-0003 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702 (formerly 1314-4081)
Journal RSS Feed
Language: English
Page range: 34 - 48
Published on: Mar 13, 2013
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Keywords:
Formal concept analysis,
Information Retrieval,
latent semantic indexing,
vector space model
Related subjects:
Computer sciences,
Information technology

© 2013 Ch. Aswani Kumar, M. Radvansky, J. Annapurna, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons License.

Volume 12 (2012): Issue 1 (March 2012)
Previous article
Next article