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Venzee CEO Kate Hiscox sees this as a data transformation problem, something her company has been working to solve for the past three years in the retail space.
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The most common argument against the use of data transformation is the problem of interpretability in effect size estimation.
To limit this problem, strategies of data transformation using principal component analysis (for numerical variables) and/or multiple correspondence analyses (for categorical variables) have been proposed [ 26, 43].
Intermediate data transformation using a MapReduce job.
It applies g-log transform (generalised log transformation) for data transformation to stabilise variance [ 18, 19].
To tackle this problem and improve regression's accuracy, we propose a holistic problem-solving approach (named adaptive ridge regression system) integrating data transformation, multi-collinearity diagnosis, ridge regression technique and multi-objective optimization.
Data transformation 3.
Data ingestion with data transformation and without data transformation.
(a) Before data transformation and (b) after log data transformation.
Clustering is another utilized data transformation method.
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