70 citations · 120 across the 15 of their papers we have counts for
4 papers · 2 filters
DB-BERT: a Database Tuning Tool that "Reads the Manual"
Immanuel Trummer
DB-BERT is a database tuning tool that exploits information gained via natural language analysis of manuals and other relevant text documents. It uses text to identify database sys…
Can Deep Neural Networks Predict Data Correlations from Column Names?
Immanuel Trummer
Recent publications suggest using natural language analysis on database schema elements to guide tuning and profiling efforts. The underlying hypothesis is that state-of-the-art la…
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…
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…