Prof. Dr. Viktor Leis

Chair for Computer Science 6 (Data Management)

Estimating cardinalities with deep sketches (2019) Kipf A, Vorona D, Mueller J, Kipf T, Radke B, Leis V, Boncz P, et al. Conference contribution Learned cardinalities: Estimating correlated joins with deep learning (2019) Kipf A, Kipf T, Radke B, Leis V, Boncz P, Kemper A Conference contribution Domain query optimization: Adapting the general-purpose database system hyper for tableau workloads (2019) Vogelsgesang A, Muehlbauer T, Leis V, Neumann T, Kemper A Conference contribution Leanstore: in-memory data management beyond main memory (2018) Leis V, Haubenschild M, Kemper A, Neumann T Conference contribution Adaptive execution of compiled queries (2018) Kohn A, Leis V, Neumann T Conference contribution Query optimization through the looking glass, and what we found running the Join Order Benchmark (2018) Leis V, Radke B, Gubichev A, Mirchev A, Boncz P, Kemper A, Neumann T Journal article Get real: How benchmarks fail to represent the real world (2018) Vogelsgesang A, Haubenschild M, Finis J, Kemper A, Leis V, Muehlbauer T, Neumann T, Then M Conference contribution Managing non-volatile memory in database systems (2018) Van Renen A, Leis V, Kemper A, Neumann T, Hashida T, Oe K, Doi Y, et al. Conference contribution Building a BW-tree takes more than just BuzzWords (2018) Wang Z, Pavlo A, Lim H, Leis V, Zhang H, Kaminsky M, Andersen DG Conference contribution SuRF: Practical range query filtering with fast succinct tries (2018) Zhang H, Lim H, Leis V, Andersen DG, Kaminsky M, Keeton K, Pavlo A Conference contribution