Computer Aided Taxonomy: A Case Study on the Automated Identification of Invasive Ladybirds in the UK

dc.contributor.author	M.Z. Ayob, M.K.A. Kadir
dc.date.accessioned	2017-02-06T02:05:40Z
dc.date.available	2017-02-06T02:05:40Z
dc.date.issued	2017-02
dc.identifier.issn	19921454
dc.identifier.uri	http://scialert.net/abstract/?doi=ajsr.2016.266.272
dc.identifier.uri	http://ir.unikl.edu.my/jspui/handle/123456789/15210
dc.description.abstract	Feature selection and minimization are some of the early steps in a pattern recognition system. Computer aided taxonomy consisting of decision tree and human interaction is proposed as an intermediate process in the identification of invasive ladybirds in the UK. The proposed methodology have been compared with learning-based system such as multilayer perceptron (MLP). The J48 has been able to reduce the span of features. Using J48 decision tree along with MLP shows that the decision tree and human interaction together forms a constructive element for improving the identification of ladybird species with black spot colours. © 2016 M.Z. Ayob and M.K.A. Kadir.	en_US
dc.subject	Computer aided taxonomy	en_US
dc.subject	Decision tree	en_US
dc.subject	Human interaction	en_US
dc.subject	Multilayer perceptron	en_US
dc.subject	Species identification	en_US
dc.title	Computer Aided Taxonomy: A Case Study on the Automated Identification of Invasive Ladybirds in the UK	en_US