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cs.DB2021
UDO: Universal Database Optimization using Reinforcement Learning
Junxiong Wang, Immanuel Trummer, Debabrota Basu
UDO is a versatile tool for offline tuning of database systems for specific workloads. UDO can consider a variety of tuning choices, reaching from picking transaction code variants…
cs.DB2021
Optimally Summarizing Data by Small Fact Sets for Concise Answers to Voice Queries
Immanuel Trummer, Connor Anderson
Our goal is to find combinations of facts that optimally summarize data sets. We consider this problem in the context of voice query interfaces for simple, exploratory data analysi…