Have a personal or library account? Click to login
On the order equivalence relation of binary association measures Cover
Open Access
|Sep 2015

References

  1. Batagelj, V. and Bren, M. (1995). Comparing resemblance measures, Journal of Classification 12(1): 73-90.10.1007/BF01202268
  2. Buczyński, A. (2004). Text Acquisition from the Internet for Linguistic Research, Master’s thesis, Warsaw University, Warsaw, (in Polish).
  3. Chapelle, O. and Wu, M. (2010). Gradient descent optimization of smoothed information retrieval metrics, Information Retrieval 13(3): 216-235.10.1007/s10791-009-9110-3
  4. Cheetham, A.H. and Hazel, J.E. (1969). Binary (presence-absence) similarity coefficients, Journal of Paleontology 43(5): 1130-1136.
  5. Choi, S.-S., Cha, S.-H. and Tappert, C.C. (2010). A survey of binary similarity and distance measures., Journal of Systemics, Cybernetics & Informatics 8(1): 43-48.
  6. Clarke, K.R., Somerfield, P.J. and Chapman, M.G. (2006). On resemblance measures for ecological studies, including taxonomic dissimilarities and a zero-adjusted Bray-Curtis coefficient for denuded assemblages, Journal of Experimental Marine Biology and Ecology 330(1): 55-80.10.1016/j.jembe.2005.12.017
  7. Consonni, V. and Todeschini, R. (2012). New similarity coefficients for binary data, Match-Communications in Mathematical and Computer Chemistry 68(2): 581.
  8. Dice, L.R. (1945). Measures of the amount of ecologic association between species, Ecology 26(3): 297-302.10.2307/1932409
  9. Duarte, J.M., Santos, J.B.d. and Melo, L.C. (1999). Comparison of similarity coefficients based on RAPD markers in the common bean, Genetics and Molecular Biology 22(3): 427-432.10.1590/S1415-47571999000300024
  10. Friedman, J.H. (1997). On bias, variance, 0/1-loss, and the curse-of-dimensionality, Data Mining and Knowledge Discovery 1(1): 55-77.10.1023/A:1009778005914
  11. Gower, J.C. and Legendre, P. (1986). Metric and Euclidean properties of dissimilarity coefficients, Journal of Classification 3(1): 5-48.10.1007/BF01896809
  12. Hoang, H.H., Kim, S.N. and Kan, M.-Y. (2009). A re-examination of lexical association measures, Proceedings of the Workshop on Multiword Expressions: Identification, Interpretation, Disambiguation and Applications, Singapore, pp. 31-39.
  13. Hubalek, Z. (1982). Coefficients of association and similarity, based on binary (presence-absence) data: An evaluation, Biological Reviews 57(4): 669-689.10.1111/j.1469-185X.1982.tb00376.x
  14. Jaccard, P. (1912). The distribution of the flora in the alpine zone 1, New Phytologist 11(2): 37-50.10.1111/j.1469-8137.1912.tb05611.x
  15. Johnson, R.A. and Wichern, D.W. (2007). Applied Multivariate Statistical Analysis, 6th Edn., Pearson International Edition, Prentice Hall, Upper Saddle River, NJ.
  16. Kazienko, P. (2009). Mining indirect association rules for web recommendation, International Journal of Applied Mathematics and Computer Science 19(1): 165-186, DOI: 10.2478/v10006-009-0015-5.10.2478/v10006-009-0015-5
  17. Kekäläinen, J. (2005). Binary and graded relevance in IR evaluations-comparison of the effects on ranking of IR systems, Information Processing & Management 41(5): 1019-1033.10.1016/j.ipm.2005.01.004
  18. Liu, T.-Y. (2009). Learning to rank for information retrieval, Foundations and Trends in Information Retrieval 3(3): 225-331.10.1561/1500000016
  19. Nieddu, L. and Rizzi, A. (2007). Proximity measures in symbolic data analysis, Statistica 63(2): 195-211.
  20. Pecina, P. (2005). An extensive empirical study of collocation extraction methods, Proceedings of the Association for Computational Linguistics Student Research Workshop, Ann Arbor, MI, USA, pp. 13-18.
  21. Pecina, P. (2008). A machine learning approach to multiword expression extraction, Proceedings of the Language Resources and Evaluation Workshop Towards a Shared Task for Multiword Expressions, Marrakech, Morocco, pp. 54-61.
  22. Pecina, P. (2010). Lexical association measures and collocation extraction, Language Resources and Evaluation 44(1-2): 137-158.10.1007/s10579-009-9101-4
  23. Pecina, P. and Schlesinger, P. (2006). Combining association measures for collocation extraction, Proceedings of the COLING/Association for Computational Linguistics on Main Conference, Sydney, Australia, pp. 651-658.
  24. Petrović, S., Šnajder, J. and Bašić, B.D. (2010). Extending lexical association measures for collocation extraction, Computer Speech & Language 24(2): 383-394.10.1016/j.csl.2009.06.001
  25. Rifqi, M., Lesot, M.-J. and Detyniecki, M. (2008). Fuzzy order-equivalence for similarity measures, Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2008, New York, NY, USA, pp. 1-6.
  26. Segond, M. and Borgelt, C. (2011). Item set mining based on cover similarity, in J.Z. Huang, L. Cao and J. Srivastava (Eds.), Advances in Knowledge Discovery and Data Mining, Springer, Berlin/Heidelberg, pp. 493-505.10.1007/978-3-642-20847-8_41
  27. Tan, P.-N., Kumar, V. and Srivastava, J. (2004). Selecting the right objective measure for association analysis, Information Systems 29(4): 293-313.10.1016/S0306-4379(03)00072-3
  28. Tversky, A. (1977). Features of similarity, Psychological Review 84(4): 327.10.1037/0033-295X.84.4.327
  29. Washtell, J. and Markert, K. (2009). A comparison of windowless and window-based computational association measures as predictors of syntagmatic human associations, Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, Singapore, Vol. 2, pp. 628-637.
  30. Wolda, H. (1981). Similarity indices, sample size and diversity, Oecologia 50(3): 296-302. 10.1007/BF0034496628309044
DOI: https://doi.org/10.1515/amcs-2015-0047 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
Language: English
Page range: 645 - 657
Submitted on: Apr 22, 2014
Published on: Sep 30, 2015
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2015 Mariusz Paradowski, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.