Exploration de données et recherche opérationnelle
Alexandre Chanson  1@  
1 : Laboratoire dÍnformatique Fondamentale et Appliquée de Tours
Université de Tours : EA6300, Institut National des Sciences Appliquées - Centre Val de Loire, Institut National des Sciences Appliquées, Centre National de la Recherche Scientifique

We consider the problem of generating SQL notebooks of comparison queries for 
Exploratory Data Analysis (EDA). A comparison query allows 
to find insights in a dataset by specifying the comparison of subsets of data.
In this talk, we study the problem of generating sequences of comparison
queries that are insightful and coherent. We propose exact and approximate
resolution approaches, and study their efficiency and effectiveness on
artificial and real datasets, and with a user study.

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