Experimental investigation of three machine learning algorithms for ITS dataset

Yearwood, John Leighton, Kang, BH and Kelarev, AV 2009, Experimental investigation of three machine learning algorithms for ITS dataset, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer, Berlin, Germany, pp. 308-316, doi: 10.1007/978-3-642-10509-8_34.

Attached Files
Name Description MIMEType Size Downloads

Title Experimental investigation of three machine learning algorithms for ITS dataset
Author(s) Yearwood, John LeightonORCID iD for Yearwood, John Leighton orcid.org/0000-0002-7562-6767
Kang, BH
Kelarev, AV
Conference location Jeju Island, Korea
Conference dates 2009/12/10 - 2009/12/12
Title of proceedings Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publication date 2009
Start page 308
End page 316
Total pages 9
Publisher Springer
Place of publication Berlin, Germany
ISBN 3642105084
ISSN 0302-9743
1611-3349
DOI 10.1007/978-3-642-10509-8_34
Field of Research 08 Information And Computing Sciences
HERDC Research category EN.1 Other conference paper
Persistent URL http://hdl.handle.net/10536/DRO/DU:30101473

Document type: Conference Paper
Collection: Centre for Pattern Recognition and Data Analytics
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 1 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 4 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Thu, 03 Aug 2017, 12:14:33 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.