On the order equivalence relation of binary association measures
References
- Batagelj, V. and Bren, M. (1995). Comparing resemblance measures, Journal of Classification 12(1): 73-90.
- Buczyński, A. (2004). Text Acquisition from the Internet for Linguistic Research, Master’s thesis, Warsaw University, Warsaw, (in Polish).
- Chapelle, O. and Wu, M. (2010). Gradient descent optimization of smoothed information retrieval metrics, Information Retrieval 13(3): 216-235.
- Cheetham, A.H. and Hazel, J.E. (1969). Binary (presence-absence) similarity coefficients, Journal of Paleontology 43(5): 1130-1136.
- 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.
- 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.
- Consonni, V. and Todeschini, R. (2012). New similarity coefficients for binary data, Match-Communications in Mathematical and Computer Chemistry 68(2): 581.
- Dice, L.R. (1945). Measures of the amount of ecologic association between species, Ecology 26(3): 297-302.
- 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.
- Friedman, J.H. (1997). On bias, variance, 0/1-loss, and the curse-of-dimensionality, Data Mining and Knowledge Discovery 1(1): 55-77.
- Gower, J.C. and Legendre, P. (1986). Metric and Euclidean properties of dissimilarity coefficients, Journal of Classification 3(1): 5-48.
- 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.
- Hubalek, Z. (1982). Coefficients of association and similarity, based on binary (presence-absence) data: An evaluation, Biological Reviews 57(4): 669-689.
- Jaccard, P. (1912). The distribution of the flora in the alpine zone 1, New Phytologist 11(2): 37-50.
- Johnson, R.A. and Wichern, D.W. (2007). Applied Multivariate Statistical Analysis, 6th Edn., Pearson International Edition, Prentice Hall, Upper Saddle River, NJ.
- 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.
- 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.
- Liu, T.-Y. (2009). Learning to rank for information retrieval, Foundations and Trends in Information Retrieval 3(3): 225-331.
- Nieddu, L. and Rizzi, A. (2007). Proximity measures in symbolic data analysis, Statistica 63(2): 195-211.
- 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.
- 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.
- Pecina, P. (2010). Lexical association measures and collocation extraction, Language Resources and Evaluation 44(1-2): 137-158.
- 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.
- Petrović, S., Šnajder, J. and Bašić, B.D. (2010). Extending lexical association measures for collocation extraction, Computer Speech & Language 24(2): 383-394.
- 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.
- 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.
- Tan, P.-N., Kumar, V. and Srivastava, J. (2004). Selecting the right objective measure for association analysis, Information Systems 29(4): 293-313.
- Tversky, A. (1977). Features of similarity, Psychological Review 84(4): 327.
- 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.
- Wolda, H. (1981). Similarity indices, sample size and diversity, Oecologia 50(3): 296-302.
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
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© 2015 Mariusz Paradowski, published by University of Zielona Góra
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