Three integration methods for a component-based netpay vendor system Dai, Xiaoling and Grundy, John 2004, Three integration methods for a component-based netpay vendor system, in CIS 2004 : Proceedings of the 1st CIS International Conference on Computational and Information Science, Springer-Verlag, Heidelberg, Germany, pp. 782-787, doi: 10.1007/978-3-540-30497-5_121. Title Three integration methods for a component-based netpay vendor system Author(s) Dai, Xiaoling Grundy, John Conference name Computational and Information Science. CIS International Conference (1st : Shanghai, China) Conference location Shanghai, China Conference dates 16 - 18 Dec. 2004 Title of proceedings CIS 2004 : Proceedings of the 1st CIS International Conference on Computational and Information Science Publication date 2004 Series Lecture Notes in Compuer Science Book Series Start page 782 End page 787 Total pages 6 Publisher Springer-Verlag Place of publication Heidelberg, Germany Keyword(s) electronic commerce micro-payment system integration Science & Technology Technology Computer Science, Information Systems Computer Science, Theory & Methods Computer Science ISSN 0302-9743 1611-3349 Language eng DOI 10.1007/978-3-540-30497-5_121 Field of Research 08 Information And Computing Sciences HERDC Research category EN.1 Other conference paper Copyright notice ©2004, Springer-Verlag Persistent URL http://hdl.handle.net/10536/DRO/DU:30094726 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to Published Version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Wed, 03 May 2017, 12:48:23 EST Thu, 04 May 2017, 05:01:49 EST Thu, 04 May 2017, 06:06:40 EST Fri, 22 Jun 2018, 12:34:14 EST Fri, 22 Jun 2018, 12:37:35 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 80 Abstract Views  -  Detailed Statistics Created: Wed, 03 May 2017, 12:48:23 EST

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