most citedSHARQ: Explainability Framework for Association Rules on Relational Data

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cs.DB2024★ 2 cited

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…