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cs.DB2024
SHARQ: Explainability Framework for Association Rules on Relational Data
Hadar Ben-Efraim, Susan B. Davidson, Amit Somech
Association rules are an important technique for gaining insights over large relational datasets consisting of tuples of elements (i.e. attribute-value pairs). However, it is diffi…
cs.DB2024
LINX: A Language Driven Generative System for Goal-Oriented Automated Data Exploration
Tavor Lipman, Tova Milo, Amit Somech +2
Data exploration is a challenging process in which users examine a dataset by iteratively employing a series of queries. While in some cases the user explores a new dataset to beco…