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+ # Explaining Aggregate for Large-Scale Data Exploration
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+ This is a repository to accompany paper : [ * Explaining Aggregates for Exploratory Analytics* ] ( https://arxiv.org/abs/1812.11346 )
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+ ![ alt text] ( https://i.imgur.com/EI1aMBo.png )
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+ The goal is to build regression functions that can explain how aggregates (such as AVG/COUNT/SUM) change with respect to different
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+ inputs. By treating the aggregate functions used in SQL queries as black box functions we approximate their behavior using well-known
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+ regression functions and observations (ie past executed queries). This is shown in the figure above.
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+ We can then used these local regression functions to explain data subspaces that indicate which regions in a data set might be more important.
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+ ![ alt text] ( https://i.imgur.com/sWP0NnX.png )
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