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Valuation of Used Vehicles: A Computational Intelligence Approach

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dc.contributor.author Ifthikar, Amjadh
dc.contributor.author Vidanage, Kaneeka
dc.date.accessioned 2020-05-27T17:32:04Z
dc.date.available 2020-05-27T17:32:04Z
dc.date.issued 2018
dc.identifier.citation Ifthikar, A and Vidanage, K (2018) ‘Valuation of Used Vehicles: A Computational Intelligence Approach’ In: 2018 8th International Conference on Intelligent Systems, Modelling and Simulation (ISMS), Kuala Lumpur, Malaysia. 8-10 May 2018. pp.7-10 IEEE DOI:10.1109/ISMS.2018.00011 en_US
dc.identifier.uri https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8699233
dc.identifier.uri http://dlib.iit.ac.lk/xmlui/handle/123456789/443
dc.description.abstract In most of the countries in the world, the number of vehicles has increased exponentially in the past decade. As a result, the used vehicle trade has flourished. In order to determine the resale value of a vehicle or for financial requirements such as vehicle leasing services, used vehicle valuation is paramount. In order to meet the future demand, a proper mechanism using computational intelligence is needed for vehicle valuation in order to overcome the inefficiencies of conventional and subjective valuation mechanisms. This paper focuses on discussing aspects regarding used vehicle valuation, previous work related to the domain as well as the proposed solution. The proposed solution intends to use real-time web scraping and machine learning in order to determine the value of a given vehicle. en_US
dc.publisher IEEE en_US
dc.subject computational intelligence en_US
dc.subject vehicles en_US
dc.subject valuation en_US
dc.subject Support vector machines en_US
dc.title Valuation of Used Vehicles: A Computational Intelligence Approach en_US
dc.type Article en_US


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