The impact of sample size and data quality to classification reliability Dai, Honghua 2012, The impact of sample size and data quality to classification reliability. In Dai, Honghua, Liu, James N. K. and Smirnov, Evgueni (ed), Reliable knowledge discovery, Springer, New York, N. Y., pp.219-226, doi: 10.1007/978-1-4614-1903-7_12. Attached Files Name Description MIMEType Size Downloads Title The impact of sample size and data quality to classification reliability Author(s) Dai, Honghua orcid.org/0000-0001-9899-7029 Title of book Reliable knowledge discovery Editor(s) Dai, Honghua orcid.org/0000-0001-9899-7029 Liu, James N. K. Smirnov, Evgueni Publication date 2012 Chapter number 12 Total chapters 17 Start page 219 End page 226 Total pages 8 Publisher Springer Place of Publication New York, N. Y. Keyword(s) data oriented factors data mining algorithm oriented factors Summary The reliability of an induced classifier can be affected by several factors including the data oriented factors and the algorithm oriented factors [3]. In some cases, the reliability could also be affected by knowledge oriented factors. In this chapter, we analyze three special cases to examine the reliability of the discovered knowledge. Our case study results show that (1) in the cases of mining from low quality data, rough classification approach is more reliable than exact approach which in general tolerate to low quality data; (2) Without sufficient large size of the data, the reliability of the discovered knowledge will be decreased accordingly; (3) The reliability of point learning approach could easily be misled by noisy data. It will in most cases generate an unreliable interval and thus affect the reliability of the discovered knowledge. It is also reveals that the inexact field is a good learning strategy that could model the potentials and to improve the discovery reliability. ISBN 9781461419020 1461419026 Language eng DOI 10.1007/978-1-4614-1903-7_12 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 ©2012, Springer Science+Business Media, LLC Persistent URL http://hdl.handle.net/10536/DRO/DU:30043140 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 Tue, 13 Mar 2012, 09:47:18 EST Tue, 03 Apr 2012, 12:40:56 EST Tue, 03 Apr 2012, 12:42:47 EST Mon, 16 Apr 2012, 10:44:07 EST Mon, 16 Apr 2012, 14:12:18 EST Thu, 10 Jul 2014, 09:12:35 EST Mon, 21 Jul 2014, 11:41:32 EST Thu, 20 Nov 2014, 13:51:50 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 471 Abstract Views, 13 File Downloads  -  Detailed Statistics Created: Tue, 13 Mar 2012, 09:47:18 EST