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Measures for the characterisation of pattern-recognition data sets

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dc.contributor.author Van der Walt, Christiaan M
dc.contributor.author Barnard, E
dc.date.accessioned 2008-01-24T14:30:10Z
dc.date.available 2008-01-24T14:30:10Z
dc.date.issued 2007-11
dc.identifier.citation Van Der Walt, C and Barnard, E. 2007. Measures for the characterisation of pattern-recognition data sets. 18th Annual Symposium of the Pattern Recognition Association of South Africa (PRASA), Pietermaritzburg, Kwazulu-Natal, South Africa, 28-30 November 2007, pp 6 en
dc.identifier.isbn 978-1-86840-656-2
dc.identifier.uri http://hdl.handle.net/10204/1979
dc.description 2007: PRASA en
dc.description.abstract The authors study the relationship between the properties of data and classifier performance. Data measures are employed to characterise classification problems and it is shown that these data measures successfully capture important characteristics of the relationship between data and classifiers. The proposed data measures can be used to predict the classification performance of real-world data sets and to gain insight into the structures and properties of real-world data en
dc.language.iso en en
dc.publisher 18th Annual Symposium of the Pattern Recognition Association of South Africa (PRASA) en
dc.subject Pattern recognition en
dc.subject Data sets en
dc.subject Classifier performance en
dc.title Measures for the characterisation of pattern-recognition data sets en
dc.type Conference Presentation en
dc.identifier.apacitation Van der Walt, C. M., & Barnard, E. (2007). Measures for the characterisation of pattern-recognition data sets. 18th Annual Symposium of the Pattern Recognition Association of South Africa (PRASA). http://hdl.handle.net/10204/1979 en_ZA
dc.identifier.chicagocitation Van der Walt, Christiaan M, and E Barnard. "Measures for the characterisation of pattern-recognition data sets." (2007): http://hdl.handle.net/10204/1979 en_ZA
dc.identifier.vancouvercitation Van der Walt CM, Barnard E, Measures for the characterisation of pattern-recognition data sets; 18th Annual Symposium of the Pattern Recognition Association of South Africa (PRASA); 2007. http://hdl.handle.net/10204/1979 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Van der Walt, Christiaan M AU - Barnard, E AB - The authors study the relationship between the properties of data and classifier performance. Data measures are employed to characterise classification problems and it is shown that these data measures successfully capture important characteristics of the relationship between data and classifiers. The proposed data measures can be used to predict the classification performance of real-world data sets and to gain insight into the structures and properties of real-world data DA - 2007-11 DB - ResearchSpace DP - CSIR KW - Pattern recognition KW - Data sets KW - Classifier performance LK - https://researchspace.csir.co.za PY - 2007 SM - 978-1-86840-656-2 T1 - Measures for the characterisation of pattern-recognition data sets TI - Measures for the characterisation of pattern-recognition data sets UR - http://hdl.handle.net/10204/1979 ER - en_ZA


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