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Horizontal Aggregations in SQL to Prepare Data Sets for Data Mining Analysis

Platform : DATA MINING

IEEE Projects Years : 2012

Horizontal Aggregations in SQL to Prepare Data Sets for Data Mining Analysis

Preparing a data set for analysis is generally the most time consuming task in a data mining project, requiring many complex SQL queries, joining tables and aggregating columns. We propose simple, yet powerful, methods to generate SQL code to return aggregated columns in a horizontal tabular layout, returning a set of numbers instead of one number per row. This new class of functions is called horizontal aggregations. Horizontal aggregations build data sets with a horizontal denormalized layout (e.g. point-dimension, observation-variable, instance-feature).



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