---
_id: '46325'
abstract:
- lang: eng
  text: Clustering is an important technique in data analysis which can reveal hidden
    patterns and unknown relationships in the data. A common problem in clustering
    is the proper choice of parameter settings. To tackle this, automated algorithm
    configuration is available which can automatically find the best parameter settings.
    In practice, however, many of our today’s data sources are data streams due to
    the widespread deployment of sensors, the internet-of-things or (social) media.
    Stream clustering aims to tackle this challenge by identifying, tracking and updating
    clusters over time. Unfortunately, none of the existing approaches for automated
    algorithm configuration are directly applicable to the streaming scenario. In
    this paper, we explore the possibility of automated algorithm configuration for
    stream clustering algorithms using an ensemble of different configurations. In
    first experiments, we demonstrate that our approach is able to automatically find
    superior configurations and refine them over time.
author:
- first_name: Matthias
  full_name: Carnein, Matthias
  last_name: Carnein
- first_name: Heike
  full_name: Trautmann, Heike
  id: '100740'
  last_name: Trautmann
  orcid: 0000-0002-9788-8282
- first_name: Albert
  full_name: Bifet, Albert
  last_name: Bifet
- first_name: Bernhard
  full_name: Pfahringer, Bernhard
  last_name: Pfahringer
citation:
  ama: 'Carnein M, Trautmann H, Bifet A, Pfahringer B. Towards Automated Configuration
    of Stream Clustering Algorithms. In: <i>Proceedings of the European Conference
    on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
    (ECMLPKDD ’19)</i>. ; 2020:137–143. doi:<a href="https://doi.org/10.1007/978-3-030-43823-4_12">10.1007/978-3-030-43823-4_12</a>'
  apa: Carnein, M., Trautmann, H., Bifet, A., &#38; Pfahringer, B. (2020). Towards
    Automated Configuration of Stream Clustering Algorithms. <i>Proceedings of the
    European Conference on Machine Learning and Principles and Practice of Knowledge
    Discovery in Databases (ECMLPKDD ’19)</i>, 137–143. <a href="https://doi.org/10.1007/978-3-030-43823-4_12">https://doi.org/10.1007/978-3-030-43823-4_12</a>
  bibtex: '@inproceedings{Carnein_Trautmann_Bifet_Pfahringer_2020, place={Würzburg,
    Germany}, title={Towards Automated Configuration of Stream Clustering Algorithms},
    DOI={<a href="https://doi.org/10.1007/978-3-030-43823-4_12">10.1007/978-3-030-43823-4_12</a>},
    booktitle={Proceedings of the European Conference on Machine Learning and Principles
    and Practice of Knowledge Discovery in Databases (ECMLPKDD ’19)}, author={Carnein,
    Matthias and Trautmann, Heike and Bifet, Albert and Pfahringer, Bernhard}, year={2020},
    pages={137–143} }'
  chicago: Carnein, Matthias, Heike Trautmann, Albert Bifet, and Bernhard Pfahringer.
    “Towards Automated Configuration of Stream Clustering Algorithms.” In <i>Proceedings
    of the European Conference on Machine Learning and Principles and Practice of
    Knowledge Discovery in Databases (ECMLPKDD ’19)</i>, 137–143. Würzburg, Germany,
    2020. <a href="https://doi.org/10.1007/978-3-030-43823-4_12">https://doi.org/10.1007/978-3-030-43823-4_12</a>.
  ieee: 'M. Carnein, H. Trautmann, A. Bifet, and B. Pfahringer, “Towards Automated
    Configuration of Stream Clustering Algorithms,” in <i>Proceedings of the European
    Conference on Machine Learning and Principles and Practice of Knowledge Discovery
    in Databases (ECMLPKDD ’19)</i>, 2020, pp. 137–143, doi: <a href="https://doi.org/10.1007/978-3-030-43823-4_12">10.1007/978-3-030-43823-4_12</a>.'
  mla: Carnein, Matthias, et al. “Towards Automated Configuration of Stream Clustering
    Algorithms.” <i>Proceedings of the European Conference on Machine Learning and
    Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD ’19)</i>,
    2020, pp. 137–143, doi:<a href="https://doi.org/10.1007/978-3-030-43823-4_12">10.1007/978-3-030-43823-4_12</a>.
  short: 'M. Carnein, H. Trautmann, A. Bifet, B. Pfahringer, in: Proceedings of the
    European Conference on Machine Learning and Principles and Practice of Knowledge
    Discovery in Databases (ECMLPKDD ’19), Würzburg, Germany, 2020, pp. 137–143.'
date_created: 2023-08-04T07:35:24Z
date_updated: 2023-10-16T13:03:15Z
department:
- _id: '34'
- _id: '819'
doi: 10.1007/978-3-030-43823-4_12
language:
- iso: eng
page: 137–143
place: Würzburg, Germany
publication: Proceedings of the European Conference on Machine Learning and Principles
  and Practice of Knowledge Discovery in Databases (ECMLPKDD ’19)
publication_identifier:
  isbn:
  - 978-3-030-43823-4
status: public
title: Towards Automated Configuration of Stream Clustering Algorithms
type: conference
user_id: '15504'
year: '2020'
...