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researcher

Dan Suciu

University of Washington

67 papers hereh-index 8527.7k citations465 works total

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

author position
  • sole author1
  • first author1
  • middle author8
  • last author55

Across the 65 of 67 papers where every author was matched, so the position is known.

fields
  • cs.DB57
  • cs.AI4
  • cs.LG2
  • cs.CR1
  • cs.DS1
  • cs.IT1
affiliations
  • University of Washington
Homepage
same name
  • Dan Suciu — 11 papers, h 5
  • Dan Suciu — 7 papers, h 4
  • Dan Suciu — 3 papers, h 3
  • Dan Suciu — 2 papers, h 6
  • Dan Suciu — 1 paper

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
20062023
most citedA Case for A Collaborative Query Management System

64 citations · 545 across the 60 of their papers we have counts for

collaborators
Showing 2013 · cs.DBShow all

4 papers · 2 filters

cs.DB2013★ 6 cited

Model Counting of Query Expressions: Limitations of Propositional Methods

Paul Beame, Jerry Li, Sudeepa Roy +1

Query evaluation in tuple-independent probabilistic databases is the problem of computing the probability of an answer to a query given independent probabilities of the individual…

cs.DB2013★ 1 cited

Dissociation and Propagation for Approximate Lifted Inference with Standard Relational Database Management Systems

Wolfgang Gatterbauer, Dan Suciu

Probabilistic inference over large data sets is a challenging data management problem since exact inference is generally #P-hard and is most often solved approximately with samplin…

cs.DB2013★ 21 cited

Lower Bounds for Exact Model Counting and Applications in Probabilistic Databases

Paul Beame, Jerry Li, Sudeepa Roy +1

The best current methods for exactly computing the number of satisfying assignments, or the satisfying probability, of Boolean formulas can be seen, either directly or indirectly,…

cs.DB2013★ 35 cited

Communication Steps for Parallel Query Processing

Paul Beame, Paraschos Koutris, Dan Suciu

We consider the problem of computing a relational query q on a large input database of size n, using a large number p of servers. The computation is performed in rounds, and…

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