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dc.contributor.authorMajhi, Ritanjali-
dc.contributor.authorPanda, Bijayalaxmi-
dc.contributor.authorPandu, Sunayana-
dc.contributor.authorMajhi, Babita-
dc.contributor.authorPanda, Ganapati-
dc.date.accessioned2024-11-13T09:41:05Z-
dc.date.available2024-11-13T09:41:05Z-
dc.date.issued2010-
dc.identifier.citation10.1109/ACE.2010.68en_US
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/1499-
dc.descriptionNITWen_US
dc.description.abstractThe rapid development of internet usage has paved the way towards the use of online shopping. In this paper an investigation has been made on the behavior of Indian consumers towards online shopping using Functional link artificial neural network (FLANN) and the result is compared with that obtained from the conventional statistical based approach, discriminant analysis. The simulation study reveals that the FLANN based model provides improved classification of consumers compared to the conventional statistical based approach.en_US
dc.language.isoenen_US
dc.publisherACE 2010 - 2010 International Conference on Advances in Computer Engineeringen_US
dc.subjectConsumer Classificationen_US
dc.subjectOnline Shoppingen_US
dc.titleClassification of Consumer Behavior using Functional Link Artificial Neural Networken_US
dc.typeOtheren_US
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