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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 2014 · cs.DBShow all

4 papers · 2 filters

cs.DB2014

Answering Conjunctive Queries with Inequalities

Paraschos Koutris, Tova Milo, Sudeepa Roy +1

In this paper, we study the complexity of answering conjunctive queries (CQ) with inequalities). In particular, we are interested in comparing the complexity of the query with and…

cs.DB2014

Approximate Lifted Inference with Probabilistic Databases

Wolfgang Gatterbauer, Dan Suciu

This paper proposes a new approach for approximate evaluation of #P-hard queries with probabilistic databases. In our approach, every query is evaluated entirely in the database en…

cs.DB2014

Symmetric Weighted First-Order Model Counting

Paul Beame, Guy Van den Broeck, Eric Gribkoff +1

The FO Model Counting problem (FOMC) is the following: given a sentence Φ in FO and a number n, compute the number of models of Φ over a domain of size n; the Weighted vari…

cs.DB2014★ 11 cited

Skew in Parallel Query Processing

Paul Beame, Paraschos Koutris, Dan Suciu

We study the problem of computing a conjunctive query q in parallel, using p of servers, on a large database. We consider algorithms with one round of communication, and study the…

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