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Can Confirmation Measures Reflect Statistically Sound Dependencies in Data? The Concordance-based Assessment


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[1] Bell, C., Mutual information and maximal correlation as measure dependence, The Annals of Mathematical Statistics, 33, 1962, 587–595.10.1214/aoms/1177704583Search in Google Scholar

[2] Bjerve, S., Doksum, K., Correlation curves: Measures of association as functions of covariate value, The Annals of Statistic, 21, 1993, 890–902.10.1214/aos/1176349156Search in Google Scholar

[3] Brzezińska, I., Greco, S., Słowiński, R., Mining pareto-optimal rules with respect to support and anti-support, Engineering Applications of Artificial Intelligence, 20, 5, 2007, 587–600.10.1016/j.engappai.2006.11.015Open DOISearch in Google Scholar

[4] Carnap, R., Logical Foundations of Probability, 2nd ed., University of Chicago Press, 1962.Search in Google Scholar

[5] Christensen, D., Measuring confirmation, Journal of Philosophy, 96, 1999, 437–461.10.2307/2564707Open DOISearch in Google Scholar

[6] Crupi, V., Tentori, K., Gonzalez, M., On bayesian measures of evidential support: Theoretical and empirical issues, Philosophy of Science, 74, 2007, 229–252.10.1086/520779Open DOISearch in Google Scholar

[7] Earman, J., Bayes or Bust: A Critical Examination of Bayesian Confirmation Theory, MIT Press, Cambridge, MA, 1992.Search in Google Scholar

[8] Eells, E., Fitelson, B., Symmetries and asymmetries in evidential support, Philosophical Studies, 107, 2, 2002, 129–142.10.1023/A:1014712013453Search in Google Scholar

[9] Everitt, B., The Analysis of Contingency Tables, Chapman & Hall, 1992.10.2307/2532373Open DOISearch in Google Scholar

[10] Fitelson, B., The plurality of bayesian measures of confirmation and the problem of measure sensitivity, Philosophy of Science, 66, 1999, 362–378.10.1086/392738Search in Google Scholar

[11] Fitelson, B., Studies in Bayesian Confirmation Theory, Ph.D. thesis, University of Wisconsin, Madison, 2001.Search in Google Scholar

[12] Geng, L., Hamilton, H., Interestingness measures for data mining: A survey, ACM Computing Surveys, 38, 3, 2006.10.1145/1132960.1132963Search in Google Scholar

[13] Glass, D.H., Confirmation measures of association rule interestingness, Knowlegde Based Systems, 44, 2013, 65–77.10.1016/j.knosys.2013.01.021Search in Google Scholar

[14] Greco, S., Pawlak, Z., Słowiński, R., Can bayesian confirmation measures be useful for rough set decision rules?, Engineering Applications of Artifficial Intelligence, 17, 2004, 345–361.10.1016/j.engappai.2004.04.008Search in Google Scholar

[15] Greco, S., Słowiński, R., Szczęch, I., Properties of rule interestingness measures and alternative approaches to normalization of measures, Information Sciences, 216, 2012, 1–16.10.1016/j.ins.2012.05.018Search in Google Scholar

[16] Greco, S., Słowiński, R., Szczęch, I., Measures of rule interestingness in various perspectives of confirmation, Inf. Sci., 346-347, 2016, 216–235, doi:10.1016/j.ins.2016.01.056.10.1016/j.ins.2016.01.056Open DOISearch in Google Scholar

[17] Hämäläinen, W., Statapriori: an efficient algorithm for searching statistically significant association rules, Knowl. Inf. Syst., 23, 3, 2010, 373–399.10.1007/s10115-009-0229-8Search in Google Scholar

[18] Hämäläinen, W., Kingfisher: an efficient algorithm for searching for both positive and negative dependency rules with statistical significance measures, Knowl. Inf. Syst., 32, 2, 2012, 383–414.10.1007/s10115-011-0432-2Search in Google Scholar

[19] Hastie, T., Tibshirani, R., Friedman, J., Elements of Statistical Learning: Data Mining, Inference, and Prediction, Springer-Verlag, 2003.Search in Google Scholar

[20] Hempel, C., Studies in the logic of confirmation (i), Mind, 54, 1945, 1–26.10.1093/mind/LIV.213.1Open DOISearch in Google Scholar

[21] Joyce, J., The Foundations of Causal Decision Theory, Cambridge University Press, 1999.10.1017/CBO9780511498497Search in Google Scholar

[22] Keeney, R., Raiffa, H., Decisions With Multiple Objectives: Preferences and Value Tradeoffs, John Wiley and Sons, Inc, 1976.Search in Google Scholar

[23] Kemeny, J., Oppenheim, P., Degrees of factual support, Philosophy of Science, 19, 1952, 307–324.10.1086/287214Open DOISearch in Google Scholar

[24] Lenca, P., Meyer, P., Vaillant, B., Lallich, S., On selecting interestingness measures for association rules: User oriented description and multiple criteria decision aid, European Journal of Operational Research, 184, 2, 2008, 610–626.10.1016/j.ejor.2006.10.059Search in Google Scholar

[25] Luce, R., Raiffa, H., Games and Decisions: Introduction and Critical Survey, John Wiley and Sons, Inc, 1957.Search in Google Scholar

[26] Mortimer, H., The Logic of Induction, Paramus, Prentice Hall, 1988.Search in Google Scholar

[27] Nozick, R., Philosophical Explanations, Clarendon Press, Oxford, UK, 1981.Search in Google Scholar

[28] Pearl, J., Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference, Morgan Kaufman, San Francisco, 1988.10.1016/B978-0-08-051489-5.50008-4Search in Google Scholar

[29] Rayner, J., Best, D., A Contingency Table Approach to Nonparametric Testing, Taylor & Francis Group, 2001.10.1201/9781420035957Search in Google Scholar

[30] Słowiński, R., Szczęch, I., Urbanowicz, M., Greco, S., Mining association rules with respect to support and anti-support-experimental results, Rough Sets and Intelligent Systems Paradigms, International Conference, RSEISP 2007, Warsaw, Poland, June 28-30, 2007, Proceedings, 2007, 534–542.10.1007/978-3-540-73451-2_56Search in Google Scholar

[31] Susmaga, R., Szczęch, I., Statistical significance of bayesian confirmation measures, Technical report, RA-010/12, Poznań University of Technology, 2012.Search in Google Scholar

[32] Susmaga, R., Szczęch, I., The property of χ012$\chi _{01}^2$-concordance for bayesian confirmation measures, Lecture Notes in Artificial Intelligence, 8234, 2013, 226–236.10.1007/978-3-642-41550-0_20Search in Google Scholar

[33] Susmaga, R., Szczęch, I., Visualization support for the analysis of properties of interestingness measures, Bulletin of the Polish Academy of Sciences. Technical Sciences, 63, 1, 2015, 315–327.10.1515/bpasts-2015-0036Search in Google Scholar

[34] Susmaga, R., Szcze¸ch, I., Selected group-theoretic aspects of confirmation measure symmetries, Inf. Sci., 346-347, 2016, 424–441, doi:10.1016/j.ins.2016.01.041.10.1016/j.ins.2016.01.041Open DOISearch in Google Scholar

[35] Szczęch, I., Multicriteria attractiveness evaluation of decision and association rules, Transactions on Rough Sets X, LNCS series, 5656, 2009, 197–274.10.1007/978-3-642-03281-3_8Search in Google Scholar

[36] Tentori, K., Crupi, V., Bonini, N., Osherson, D., Comparison of confirmation measures, Cognition, 103, 2007, 107–119.10.1016/j.cognition.2005.09.00616678146Search in Google Scholar

[37] Tick, J., Fodor, J., Fuzzy implications and inference processes, Computing and Informatics, 24, 2005, 591–602.Search in Google Scholar

[38] Venables, W., Ripley, B., Modern Applied Statistics with S, Springer-Verlag, 2002.10.1007/978-0-387-21706-2Search in Google Scholar

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