Please use this identifier to cite or link to this item: https://ruomo.lib.uom.gr/handle/7000/1179
Title: WebDR: A Web Workbench for Data Reduction
Authors: Ougiaroglou, Stefanos
Evangelidis, Georgios
Type: Conference Paper
Subjects: FRASCATI::Natural sciences::Computer and information sciences
Keywords: k-NN classification
Data Reduction
Web-based application
Issue Date: 2014
Volume: 8726
First Page: 464
Last Page: 467
Volume Title: Machine Learning and Knowledge Discovery in Databases
Part of Series: Lecture Notes in Computer Science
Part of Series: Lecture Notes in Computer Science
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.
URI: https://doi.org/10.1007/978-3-662-44845-8_36
https://ruomo.lib.uom.gr/handle/7000/1179
ISBN: 978-3-662-44844-1
978-3-662-44845-8
ISSN: 0302-9743
1611-3349
Other Identifiers: 10.1007/978-3-662-44845-8_36
Appears in Collections:Department of Applied Informatics

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