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researcher

P. Haas

6 papers here

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

author position
  • middle author6

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.DB4
  • cs.HC1
  • cs.LG1
same name
  • P. Haas — 2 papers
  • P. Haas — 2 papers, h 17
  • P. Haas — 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
20172021
most citedForesight: Recommending Visual Insights

20 citations · 49 across the 5 of their papers we have counts for

collaborators
Showing cs.DBShow all

4 papers · 1 filter

cs.DB2021★ 6 cited

Stochastic Package Queries in Probabilistic Databases

Matteo Brucato, Nishant Yadav, Azza Abouzied +2

We provide methods for in-database support of decision making under uncertainty. Many important decision problems correspond to selecting a package (bag of tuples in a relational d…

cs.DB2019★ 1 cited

Temporally-Biased Sampling Schemes for Online Model Management

Brian Hentschel, Peter J. Haas, Yuanyuan Tian

To maintain the accuracy of supervised learning models in the presence of evolving data streams, we provide temporally-biased sampling schemes that weight recent data most heavily,…

cs.DB2018★ 3 cited

Temporally-Biased Sampling for Online Model Management

Brian Hentschel, Peter J. Haas, Yuanyuan Tian

To maintain the accuracy of supervised learning models in the presence of evolving data streams, we provide temporally-biased sampling schemes that weight recent data most heavily,…

cs.DB2017★ 20 cited

Foresight: Recommending Visual Insights

Çağatay Demiralp, Peter J. Haas, Srinivasan Parthasarathy +1

Current tools for exploratory data analysis (EDA) require users to manually select data attributes, statistical computations and visual encodings. This can be daunting for large-sc…

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