Abstract
Statistical analysis of dependencies existing in data sets is now one of the most important applications of statistics. It is also a core part of data mining - a rapidly developing in recent years part of information technology. Statistical methods that have been proposed for the analysis of dependencies in data sets can be roughly divided into two groups: tests of statistical independence and statistical measures of the strength of dependence.
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Hryniewicz, O. (2006). On Testing Fuzzy Independence. In: Lawry, J., et al. Soft Methods for Integrated Uncertainty Modelling. Advances in Soft Computing, vol 37. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-34777-1_5
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DOI: https://doi.org/10.1007/3-540-34777-1_5
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