Mark Raasveldt
SIGMOD Conference · 2019
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Mark Raasveldt trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Mark Raasveldt's perspective
Ordered by how strongly the researchers Mark Raasveldt trusts endorse each paper. Same corpus, a different order for every researcher.
- MonetDB/X100: Hyper-Pipelining Query Execution (Conference on Innovative Data Systems Research)
- Efficiently Compiling Efficient Query Plans for Modern Hardware (Proceedings of the VLDB Endowment)
- Data Structures for Statistical Computing in Python
- LEO - DB2's LEarning Optimizer (Very Large Data Bases Conference)
- CORDS: automatic discovery of correlations and soft functional dependencies (ACM SIGMOD Conference)
- The History of Histograms (abridged) (Very Large Data Bases Conference)
- Serializable isolation for snapshot databases (TODS)
- Weaving Relations for Cache Performance (Very Large Data Bases Conference)
- Cramming More Components Onto Integrated Circuits
- A method for the construction of minimum-redundancy codes
Their papers
- DuckDB: an Embeddable Analytical Database (2019) — 429 citations