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Veröffentlichungsdatum
Anzahl der Publikationen: 5
2021
Borutta, Felix; Kröger, Peer und Renz, Matthias
(2021):
A Cost Model for Reverse Nearest Neighbor Query Processing on R-Trees Using Self Pruning.
In: Reyes, Nora; Connor, Richard; Kriege, Nils; Kazempour, Daniyal; Bartolini, Ilaria; Schubert, Erich und Chen, Jian-Jia (Hrsg.):
Similarity Search and Applications :14th International Conference, SISAP 2021, Dortmund, Germany, September 29 – October 1, 2021, Proceedings. Lecture Notes in Computer Science (LNCS), Bd. 13058. Cham: Springer. S. 45-53
2017
Schubert, Erich; Sander, Jörg; Ester, Martin; Kriegel, Hans-Peter und Xu, Xiaowei
(2017):
DBSCAN Revisited, Revisited: Why and How You Should (Still) Use DBSCAN.
In: ACM Transactions on Database Systems, Bd. 42, Nr. 3, 19
Kriegel, Hans-Peter; Schubert, Erich und Zimek, Arthur
(2017):
The (black) art of runtime evaluation: Are we comparing algorithms or implementations?
In: Knowledge and information Systems, Bd. 52, Nr. 2: S. 341-378
Casanova, Guillaume; Englmeier, Elias; Houle, Michael E.; Kröger, Peer; Nett, Michael; Schubert, Erich und Zimek, Arthur
(2017):
Dimensional Testing for Reverse k-Nearest Neighbor Search.
In: Proceedings of the Vldb Endowment, Bd. 10, Nr. 7: S. 769-780
2016
Campos, Guilherme O.; Zimek, Arthur; Sander, Jörg; Campello, Ricardo J. G. B.; Micenková, Barbora; Schubert, Erich; Assent, Ira und Houle, Michael E.
(2016):
On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study.
In: Data Mining and Knowledge Discovery, Bd. 30, Nr. 4: S. 891-927