Martin Aumüller 0001, Matteo Ceccarello. Benchmarking Nearest Neighbor Search: Influence of Local Intrinsic Dimensionality and Result Diversity in Real-World Datasets. In Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Albrecht Zimmermann, editors, Proceedings of the 1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning co-located with SIAM International Conference on Data Mining (SDM 2019), Calgary, Alberta, Canada, May 4th, 2019. Volume 2436 of CEUR Workshop Proceedings, pages 14-23, CEUR-WS.org, 2019. [doi]
@inproceedings{AumullerC19,
title = {Benchmarking Nearest Neighbor Search: Influence of Local Intrinsic Dimensionality and Result Diversity in Real-World Datasets},
author = {Martin Aumüller 0001 and Matteo Ceccarello},
year = {2019},
url = {http://ceur-ws.org/Vol-2436/article_3.pdf},
researchr = {https://researchr.org/publication/AumullerC19},
cites = {0},
citedby = {0},
pages = {14-23},
booktitle = {Proceedings of the 1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning co-located with SIAM International Conference on Data Mining (SDM 2019), Calgary, Alberta, Canada, May 4th, 2019},
editor = {Eirini Ntoutsi and Erich Schubert and Arthur Zimek and Albrecht Zimmermann},
volume = {2436},
series = {CEUR Workshop Proceedings},
publisher = {CEUR-WS.org},
}