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Computer Science

D-Index
38
Citations
5359
World Ranking
10342
National Ranking
182

Overview

Dan Olteanu is affiliated with the University of Zurich in Switzerland. Their research focuses primarily on computer science, with a strong emphasis on advanced database systems and queries, data management and algorithms, and related areas.

Their main fields of study include:

  • Computer Science

Within these fields, their subfields of study encompass:

  • Computer Networks and Communications
  • Artificial Intelligence
  • Signal Processing
  • Information Systems
  • Information Systems and Management

Dan Olteanu's research covers a wide range of topics, including:

  • Advanced Database Systems and Queries
  • Data Management and Algorithms
  • Data Mining Algorithms and Applications
  • Scientific Computing and Data Management
  • Bayesian Modeling and Causal Inference
  • Data Stream Mining Techniques
  • Graph Theory and Algorithms

The scientist has published extensively, with frequent contributions to these publication venues:

  • arXiv (Cornell University)
  • Proceedings of the VLDB Endowment
  • Proceedings of the ACM on Management of Data
  • ACM SIGMOD Record
  • ACM Transactions on Database Systems

Recent papers authored or coauthored by Dan Olteanu include:

  • "Maintaining Triangle Queries under Updates," 2020, ACM Transactions on Database Systems
  • "Functional collection programming with semi-ring dictionaries," 2022, Proceedings of the ACM on Programming Languages
  • "Chorus: Foundation Models for Unified Data Discovery and Exploration," 2024, Proceedings of the VLDB Endowment
  • "The relational data borg is learning," 2020, Proceedings of the VLDB Endowment
  • "An intermediate representation for hybrid database and machine learning workloads," 2021, Proceedings of the VLDB Endowment

Their frequent coauthors include:

  • Dan Suciu
  • Mahmoud Abo Khamis
  • Ahmet Kara
  • Haozhe Zhang

Best Publications

  • XPath: Looking Forward

    Dan Olteanu;Holger Meuss;Tim Furche;François Bry

  • Fast and Simple Relational Processing of Uncertain Data

    L. Antova;T. Jansen;C. Koch;D. Olteanu

  • Design and Implementation of the LogicBlox System

    Molham Aref;Balder ten Cate;Todd J. Green;Benny Kimelfeld

  • 10106Worlds and Beyond: Efficient Representation and Processing of Incomplete Information

    L. Antova;C. Koch;D. Olteanu

  • Conditioning probabilistic databases

    Christoph Koch;Dan Olteanu

  • MayBMS: a probabilistic database management system

    Jiewen Huang;Lyublena Antova;Christoph Koch;Dan Olteanu

  • Parallel materialisation of datalog programs in centralised, main-memory RDF systems

    Boris Motik;Yavor Nenov;Robert Piro;Ian Horrocks

  • Learning Linear Regression Models over Factorized Joins

    Maximilian Schleich;Dan Olteanu;Radu Ciucanu

  • $${10^{(10^{6})}}$$ worlds and beyond: efficient representation and processing of incomplete information

    Lyublena Antova;Christoph Koch;Dan Olteanu

  • Size Bounds for Factorised Representations of Query Results

    Dan Olteanu;Jakub Závodný

  • Agora: Living with XML and Relational

    Ioana Manolescu;Daniela Florescu;Donald Kossmann;Florian Xhumari

  • SPROUT: Lazy vs. Eager Query Plans for Tuple-Independent Probabilistic Databases

    Dan Olteanu;Jiewen Huang;Christoph Koch

  • MayBMS: Managing Incomplete Information with Probabilistic World-Set Decompositions

    L. Antova;C. Koch;D. Olteanu

  • Aggregation and ordering in factorised databases

    Nurzhan Bakibayev;Tomáš Kočiský;Dan Olteanu;Jakub Závodný

  • From complete to incomplete information and back

    Lyublena Antova;Christoph Koch;Dan Olteanu

  • Probabilistic Databases

    Unknown

  • Approximate confidence computation in probabilistic databases

    Dan Olteanu;Jiewen Huang;Christoph Koch

  • SPEX: Streamed and Progressive Evaluation of XPath

    D. Olteanu

  • Using OBDDs for Efficient Query Evaluation on Probabilistic Databases

    Dan Olteanu;Jiewen Huang

  • An evaluation of regular path expressions with qualifiers against XML streams

    D. Olteanu;T. Kiesling;F. Bry

  • Factorized Databases

    Dan Olteanu;Maximilian Schleich

  • Probabilistic Databases

    Unknown

Frequent Co-Authors

Christoph Koch
Christoph Koch École Polytechnique Fédérale de Lausanne
Hung Q. Ngo
Hung Q. Ngo University at Buffalo, State University of New York
François Bry
François Bry Ludwig-Maximilians-Universität München
Peter J. Haas
Peter J. Haas University of Massachusetts Amherst
Dan Suciu
Dan Suciu University of Washington
Georg Gottlob
Georg Gottlob University of Calabria
Boris Motik
Boris Motik University of Oxford
Steve Rawlings
Steve Rawlings University of Oxford
Lance Miller
Lance Miller University of Oxford
Matt J. Jarvis
Matt J. Jarvis University of Oxford

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