Quantitatively evaluating the effects of price promotions using data mining Gan, Min and Dai, Honghua 2013, Quantitatively evaluating the effects of price promotions using data mining. In Pooley, Rob, Coady, Jennifer, Linger, Henry, Barry, Chris, Lang, Michael and Schneider, Christoph (ed), Information systems development : reflections, challenges and new directions, Springer, New York, N.Y., pp.485-497, doi: 10.1007/978-1-4614-4951-5_39. Attached Files Name Description MIMEType Size Downloads Title Quantitatively evaluating the effects of price promotions using data mining Author(s) Gan, Min Dai, Honghua orcid.org/0000-0001-9899-7029 Title of book Information systems development : reflections, challenges and new directions Editor(s) Pooley, Rob Coady, Jennifer Linger, Henry Barry, Chris Lang, Michael Schneider, Christoph Publication date 2013 Chapter number 39 Total chapters 55 Start page 485 End page 497 Total pages 13 Publisher Springer Place of Publication New York, N.Y. Notes This paper was presented at the International Conference on Information Systems Development (20th : 2011 : Edinburgh, Scotland) ISBN 1461449510 9781461449515 Language eng DOI 10.1007/978-1-4614-4951-5_39 Field of Research 080109 Pattern Recognition and Data Mining Socio Economic Objective 890202 Application Tools and System Utilities HERDC Research category B1 Book chapter Copyright notice ©2013, Springer Persistent URL http://hdl.handle.net/10536/DRO/DU:30060722 Document type: Book Chapter Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version (restricted access) 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 Thu, 20 Feb 2014, 11:08:31 EST Thu, 20 Feb 2014, 11:33:25 EST Tue, 18 Mar 2014, 10:28:08 EST Wed, 09 Apr 2014, 16:32:59 EST Thu, 10 Apr 2014, 08:37:34 EST Fri, 11 Apr 2014, 12:27:06 EST Fri, 11 Apr 2014, 13:10:41 EST Fri, 11 Apr 2014, 13:14:43 EST Fri, 11 Jul 2014, 09:23:24 EST Tue, 15 Jul 2014, 11:52:31 EST Wed, 23 Jul 2014, 13:45:26 EST Fri, 22 Aug 2014, 16:20:48 EST Thu, 20 Nov 2014, 08:51:25 EST Wed, 18 Nov 2015, 07:20:45 EST Thu, 08 Feb 2018, 13:53:48 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 418 Abstract Views, 12 File Downloads  -  Detailed Statistics Created: Thu, 20 Feb 2014, 11:08:31 EST

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