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ILP Modulo Data
[article]
2014
arXiv
pre-print
The vast quantity of data generated and captured every day has led to a pressing need for tools and processes to organize, analyze and interrelate this data. Automated reasoning and optimization tools with inherent support for data could enable advancements in a variety of contexts, from data-backed decision making to data-intensive scientific research. To this end, we introduce a decidable logic aimed at database analysis. Our logic extends quantifier-free Linear Integer Arithmetic with
arXiv:1404.5665v3
fatcat:zhlludkdbze4noo7mb2vdt5q4y