Person:
Grossniklaus, Michael

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0000-0003-1609-2221
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Grossniklaus
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Michael
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Now showing 1 - 10 of 102
  • Publication
    Contribution to a conference collection
    SAHARA : Memory Footprint Reduction of Cloud Databases with Automated Table Partitioning
    (2022) Brendle, Michael; Weber, Nick; Valiyev, Mahammad; May, Norman; Schulze, Robert; Böhm, Alexander; Moerkotte, Guido; Grossniklaus, Michael
    Published in: Proceedings 25th International Conference on Extending Database Technology (EDBT 2022). - Konstanz : University of Konstanz, 2022. - (Advances in Database Technology ; 25,1). - pp. 13-26. - eISSN 2367-2005. - ISBN 978-3-89318-086-8
  • Publication
    Patent
    Workload aware data partitioning
    (2022) May, Norman; Boehm, Alexander; Moerkotte, Guido; Brendle, Michael; Valiyev, Mahammad; Weber, Nick; Schulze, Robert; Grossniklaus, Michael
  • Publication
    Contribution to a conference collection
    Cardinality Estimation using Label Probability Propagation for Subgraph Matching in Property Graph Databases
    (2022) Wörteler, Leonard; Renftle, Moritz; Chondrogiannis, Theodoros; Grossniklaus, Michael
    Published in: Proceedings 25th International Conference on Extending Database Technology (EDBT 2022). - Konstanz : University of Konstanz, 2022. - (Advances in Database Technology ; 25,2). - pp. 285-297. - eISSN 2367-2005. - ISBN 978-3-89318-085-7
  • Publication
    Contribution to a conference collection
    History oblivious route recovery on road networks
    (2022) Chondrogiannis, Theodoros; Bornholdt, Johann; Bouros, Panagiotis; Grossniklaus, Michael
    Published in: SIGSPATIAL '22 : Proceedings of the 30th International Conference on Advances in Geographic Information Systems / Renz, Matthias; Sarwat, Mohamed (ed.). - New York : ACM, 2022. - 44. - ISBN 978-1-4503-9529-8
  • Publication
    Contribution to a conference collection
    Online Landmark-Based Batch Processing of Shortest Path Queries
    (2021) Hotz, Manuel; Chondrogiannis, Theodoros; Wörteler, Leonard; Grossniklaus, Michael
    Published in: Scientific and Statistical Database Management : 33rd International Conference, SSDBM 2021, Tampa, Florida, USA, July 6 - 7, 2021, proceedings / Zhu, Qiang et al. (ed.). - New York, USA : ACM, 2021. - pp. 133-144. - ISBN 978-1-4503-8413-1
  • Publication
    Journal article
    Where to go : Computational and visual what-if analyses in soccer
    (2019) Stein, Manuel; Seebacher, Daniel; Marcelino, Rui; Schreck, Tobias; Grossniklaus, Michael; Keim, Daniel A.; Janetzko, Halldor
    Published in: Journal of Sports Sciences ; 37 (2019), 24. - pp. 2774-2782. - ISSN 0264-0414. - eISSN 1466-447X
  • Publication
    Contribution to a conference collection
    Towards Reproducible Research of Event Detection Techniques for Twitter
    (2019) Weiler, Andreas; Schilling, Harry; Kircher, Lukas; Grossniklaus, Michael
    Published in: 6th Swiss Conference on Data Science (SDS 2019), Bern, Switzerland, 14 June 2019 / Geiger, Melanie (ed.). - Piscataway, NJ : IEEE, 2019. - pp. 69-74. - ISBN 978-1-72813-105-4
  • Publication
    Contribution to a conference collection
    From Movement to Events : Improving Soccer Match Annotations
    (2019) Stein, Manuel; Seebacher, Daniel; Karge, Tassilo; Polk, Tom; Grossniklaus, Michael; Keim, Daniel A.
    Published in: MultiMedia Modeling : 25th International Conference, MMM 2019, Proceedings, Part I / Kompatsiaris, Ioannis; Huet, Benoit; Mezaris, Vasileios; Gurrin, Cathal; Cheng, Wen-Huang; Vrochidis, Stefanos (ed.). - Cham : Springer International Publishing, 2019. - (Lecture Notes in Computer Science ; 11295). - pp. 130-142. - ISSN 0302-9743. - eISSN 1611-3349. - ISBN 978-3-030-05709-1
  • Publication
    Contribution to a conference collection
    Experiences with Implementing Landmark Embedding in Neo4j
    (2019) Hotz, Manuel; Chondrogiannis, Theodoros; Wörteler, Leonard; Grossniklaus, Michael
    Published in: Proceedings of the 2nd Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA) - GRADES-NDA'19. - New York : ACM Press, 2019. - 7. - ISBN 978-1-4503-6789-9
  • Publication
    Contribution to a conference collection
    Revealing the Invisible : Visual Analytics and Explanatory Storytelling for Advanced Team Sport Analysis
    (2018) Stein, Manuel; Breitkreutz, Thorsten; Häußler, Johannes; Seebacher, Daniel; Niederberger, Christoph; Schreck, Tobias; Grossniklaus, Michael; Keim, Daniel A.; Janetzko, Halldor
    Published in: 2018 International Symposium on Big Data Visual and Immersive Analytics (BDVA). - Piscataway, NJ : IEEE, 2018. - pp. 148-156. - ISBN 978-1-5386-9194-6