ML Anthology

WebDR: A Web Workbench for Data Reduction

Stefanos Ougiaroglou, Georgios Evangelidis
ECML-PKDD 2014 pp. 464-467
doi:10.1007/978-3-662-44845-8_36 /ecmlpkdd/2014/ougiaroglou2014ecmlpkdd-webdr/

Abstract

Data reduction is a common preprocessing task in the context of the k nearest neighbour classification. This paper presents WebDR, a web-based application where several data reduction techniques have been integrated and can be executed on-line. WebDR allows the performance evaluation of the classification process through a web interface. Therefore, it can be used by the academia for educational and experimental purposes.

PDF ECML-PKDD Semantic Scholar

Cite

Text

Ougiaroglou and Evangelidis. "WebDR: A Web Workbench for Data Reduction." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2014. doi:10.1007/978-3-662-44845-8_36

Markdown

[Ougiaroglou and Evangelidis. "WebDR: A Web Workbench for Data Reduction." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2014.](https://mlanthology.org/ecmlpkdd/2014/ougiaroglou2014ecmlpkdd-webdr/) doi:10.1007/978-3-662-44845-8_36

BibTeX

@inproceedings{ougiaroglou2014ecmlpkdd-webdr,
  title     = {{WebDR: A Web Workbench for Data Reduction}},
  author    = {Ougiaroglou, Stefanos and Evangelidis, Georgios},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2014},
  pages     = {464-467},
  doi       = {10.1007/978-3-662-44845-8_36},
  url       = {https://mlanthology.org/ecmlpkdd/2014/ougiaroglou2014ecmlpkdd-webdr/}
}