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researcher

Tim Kraska

63 papers hereh-index 5914.1k citations217 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author33
  • last author26

Across the 60 of 63 papers where every author was matched, so the position is known.

fields
  • cs.DB45
  • cs.LG6
  • cs.DC2
  • cs.DS2
  • cs.HC2
  • cs.PL2
same name
  • Tim Kraska — 8 papers, h 5
  • Tim Kraska — 6 papers, h 9
  • Tim Kraska — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20112023
most citedNeo: A Learned Query Optimizer

382 citations · 1.8k across the 59 of their papers we have counts for

collaborators
Showing 2016 · cs.DBShow all

4 papers · 2 filters

cs.DB2016

Controlling False Discoveries During Interactive Data Exploration

Zheguang Zhao, Lorenzo De Stefani, Emanuel Zgraggen +3

Recent tools for interactive data exploration significantly increase the chance that users make false discoveries. The crux is that these tools implicitly allow the user to test a…

cs.DB2016★ 2 cited

A Data Quality Metric (DQM): How to Estimate The Number of Undetected Errors in Data Sets

Yeounoh Chung, Sanjay Krishnan, Tim Kraska

Data cleaning, whether manual or algorithmic, is rarely perfect leaving a dataset with an unknown number of false positives and false negatives after cleaning. In many scenarios, q…

cs.DB2016★ 1 cited

Revisiting Reuse in Main Memory Database Systems

Kayhan Dursun, Carsten Binnig, Ugur Cetintemel +1

Reusing intermediates in databases to speed-up analytical query processing has been studied in the past. Existing solutions typically require intermediate results of individual ope…

cs.DB2016★ 13 cited

The End of a Myth: Distributed Transactions Can Scale

Erfan Zamanian, Carsten Binnig, Tim Kraska +1

The common wisdom is that distributed transactions do not scale. But what if distributed transactions could be made scalable using the next generation of networks and a redesign of…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.