IBM Distinguished Engineer solves Big Data Conjecture
The problem consisted in finding an exact formula for a new type of correlation and goodness-of-fit metrics, designed specifically for big data, generalizing the Spearman's rank coefficient, and being especially robust for non-bounded, ordinal data found in large data sets. To read the whole story, google "IBM Distinguished Engineer solves Big Data Conjecture".
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