University of Stirling    STORRE: Stirling Online Research Repository University Circle Images   Research Led, Student Focused  
 

STORRE >
School of Natural Sciences >
Computing Science and Mathematics >
Computing Science and Mathematics Conference Papers and Proceedings >

Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/3950

Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings
Peer Review Status: Refereed
Author(s): Swingler, Kevin
Contact Email: kms@cs.stir.ac.uk
Title: The Perils of Ignoring Data Suitability: The Suitability of Data Used to Train Neural Networks Deserves More Attention
Citation: Swingler K (2011) The Perils of Ignoring Data Suitability: The Suitability of Data Used to Train Neural Networks Deserves More Attention In: NCTA 2011 - International Conference on Neural Computation Theory and Application, SciTePress Digital Library. International Conference on Neural Computation Theory and Application, 24.10.2011 - 26.10.2011, Paris, France.
Issue Date: 2011
Conference Name: International Conference on Neural Computation Theory and Application
Conference Dates: 2011-10-24T00:00:00Z
Conference Location: Paris, France
Abstract: The quality and quantity (we call it suitability from now on) of data that are used for a machine learning task are as important as the capability of the machine learning algorithm itself. Yet these two aspects of machine learning are not given equal weight by the data mining, machine learning and neural computing communities. Data suitability is largely ignored compared to the effort expended on learning algorithm development. This position paper argues that some of the new algorithms and many of the tweaks to existing algorithms would be unnecessary if the data going into them were properly pre-processed, and calls for a shift in effort towards data suitability assessment and correction.
Type: Conference Paper
Status: Author version
Rights: Permission granted for use in this repository by The Institute for Systems and Technologies of Information, Control and Communication (INSTICC): http://www.insticc.org/InsticcPortal/Home.aspx
URI: http://hdl.handle.net/1893/3950
URL: http://www.ncta.ijcci.org/Abstracts/2011/NCTA_2011_Abstracts.htm
Affiliation: Computing Science - CSM Dept

Files in This Item:

File Description SizeFormat
DataqualityNCTA_CameraReady.pdf63.24 kBAdobe PDFView/Open


This item is protected by original copyright

Recommend this item

Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.

 

Valid XHTML 1.0! Repository Service Operated by Information Services, University of Stirling
Powered by DSpace Software Copyright © 2002-2010  Duraspace - Feedback