Nikolaus Augsten

Nikolaus Augsten

Univ.-Prof. Dipl.-Ing., Ph.D.

 https://orcid.org/0000-0002-3036-6201
20052024

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  • 2021

    Scaling Density-Based Clustering to Large Collections of Sets

    Kocher, D., Mann, W. & Augsten, N., Mar 2021, EDBT 2021 - Proceedings of the 24th International Conference on Extending Database Technology: 24th International Conference on Extending Database Technology, Proceedings. Velegrakis, Y., Velegrakis, Y., Zeinalipour, D., Chrysanthis, P. K., Chrysanthis, P. K. & Guerra, F. (eds.). OpenProceedings.org, p. 109-120 12 p. (Advances in Database Technology - EDBT; vol. 2021-March).

    Research output: Chapter in Book/Report/Conference proceeding/Legal commentary › Conference contribution › peer-review

    Open Access
  • 2020

    A Relational Matrix Algebra and its Implementation in a Column Store

    Dolmatova, O., Augsten, N. & Boehlen, M. H., Jun 2020, Proceedings of the 2020 International Conference on Management of Data, SIGMOD Conference 2020. p. 2573-2587 15 p.

    Research output: Chapter in Book/Report/Conference proceeding/Legal commentary › Conference contribution › peer-review

  • An Efficient Index for Reachability Queries in Public Transport Networks

    Tesfaye, B., Pawlik, M., Augsten, N., H.Böhlen, M. & S.Jensen, C., 2020, Advances in Databases and Information Systems. p. 34-48

    Research output: Chapter in Book/Report/Conference proceeding/Legal commentary › Conference contribution › peer-review

    Open Access

  • Minimal Edit-Based Diffs for Large Trees

    Pawlik, M. & Augsten, N., 2020, Proceedings of the ACM International Conference on Information and Knowledge Management. p. 1225-1234

    Research output: Chapter in Book/Report/Conference proceeding/Legal commentary › Conference contribution › peer-review

    Open Access

  • Preserving Contextual Information in Relational Matrix Operations

    Dolmatova, O., Augsten, N. & Böhlen, M. H., 2020, 36th IEEE International Conference on Data Engineering, ICDE 2020, Dallas, TX, USA, April 20-24, 2020. IEEE, p. 1894-1897 4 p.

    Research output: Chapter in Book/Report/Conference proceeding/Legal commentary › Conference contribution › peer-review

  • 2019

    Effective Filters and Linear Time Verification for Tree Similarity Joins

    Hütter, T., Pawlik, M., Loschinger, R. & Augsten, N., Apr 2019, 35th IEEE International Conference on Data Engineering, ICDE 2019, Macao, China, April 8-11, 2019. p. 854-865 12 p. 8731352. (Proceedings - International Conference on Data Engineering; vol. 2019-April).

    Research output: Chapter in Book/Report/Conference proceeding/Legal commentary › Conference contribution › peer-review

  • A Scalable Index for Top-k Subtree Similarity Queries

    Kocher, D. & Augsten, N., 2019, SIGMOD 2019 - Proceedings of the 2019 International Conference on Management of Data. p. 1624-1641 18 p. (Proceedings of the ACM SIGMOD International Conference on Management of Data).

    Research output: Chapter in Book/Report/Conference proceeding/Legal commentary › Conference contribution › peer-review

  • 2018

    A roadmap towards declarative similarity queries

    Augsten, N., 1 Jan 2018, Advances in Database Technology - EDBT 2018: 21st International Conference on Extending Database Technology, Proceedings. Bohlen, M., Pichler, R., May, N., Rahm, E., Wu, S.-H. & Hose, K. (eds.). OpenProceedings.org, p. 509-512 4 p. (Advances in Database Technology - EDBT; vol. 2018-March).

    Research output: Chapter in Book/Report/Conference proceeding/Legal commentary › Conference contribution › peer-review

    Open Access
  • 2017

    A New Perspective on the Tree Edit Distance

    Schwarz, S., Pawlik, M. & Augsten, N., 2017, Similarity Search and Applications. p. 156-170 (Lecture Notes in Computer Science).

    Research output: Chapter in Book/Report/Conference proceeding/Legal commentary › Conference contribution › peer-review

    Open Access

  • Recommending OSM Tags to Improve Metadata Quality

    Silbernagl, D., Krismer, N., Augsten, N. & Specht, G., 2017, Proceedings of the 1st ACM SIGSPATIAL Workshop on Recommendations for Location-based Services and Social Networks. Redondo Beach, CA, USA: ACM, p. 6:1--6:10 10 p. (Proceedings of the 1st ACM SIGSPATIAL Workshop on Recommendations for Location-based Services and Social Networks; vol. LocalRec'17).

    Research output: Chapter in Book/Report/Conference proceeding/Legal commentary › Conference contribution › peer-review

  • 2014

    A Memory-Efficient Tree Edit Distance Algorithm

    Pawlik, M. & Augsten, N., 2014, Database and Expert Systems Applications. p. 196-210 (Lecture Notes in Computer Science).

    Research output: Chapter in Book/Report/Conference proceeding/Legal commentary › Conference contribution › peer-review

  • On-the-fly token similarity joins in relational databases

    Augsten, N., Miraglia, A., Neumann, T. & Kemper, A., 2014, ACM SIGMOD International Conference on Management of Data. ACM, p. 1495-1506 12 p.

    Research output: Chapter in Book/Report/Conference proceeding/Legal commentary › Conference contribution › peer-review

  • PEL: Position-Enhanced Length Filter for Set Similarity Joins 89-94

    Mann, W. & Augsten, N., 2014, Proceedings of the 26th GI-Workshop Grundlagen von Datenbanken. p. 89-94

    Research output: Chapter in Book/Report/Conference proceeding/Legal commentary › Conference contribution › peer-review

    Open Access
  • 2013

    RWS-Diff: Flexible and efficient change detection in hierarchical data

    Finis, J., Raiber, M., Augsten, N., Brunel, R., Kemper, A. & Färber, F., 11 Dec 2013, CIKM 2013 - Proceedings of the 22nd ACM International Conference on Information and Knowledge Management. p. 339-348 10 p. (International Conference on Information and Knowledge Management, Proceedings).

    Research output: Chapter in Book/Report/Conference proceeding/Legal commentary › Conference contribution › peer-review